Case data#
The bundled case data is grouped by source under pwrs.data.
MATPOWER cases are also available directly from pwrs for
MATPOWER-compatible access. The descriptions below are read from each JSON
file’s comments field when the documentation is built.
MATPOWER#
case10ba#
Python: pwrs.data.matpower.case10ba()
CASE10BA Power flow data for 10 bus distribution system from Baghzouz & Ertem
Please see CASEFORMAT for details on the case file format.
Data from ...
Baghzouz Y, Ertem S., "Shunt capacitor sizing for radial
distribution feeders with distorted substation voltages",
IEEE Trans. Power Deliv., vol.5, 1990, pp. 650-657.
case118#
Python: pwrs.data.matpower.case118()
CASE118 Power flow data for IEEE 118 bus test case.
Please see CASEFORMAT for details on the case file format.
This data was converted from IEEE Common Data Format
(ieee118cdf.txt) on 15-Oct-2014 by cdf2matp, rev. 2393
See end of file for warnings generated during conversion.
Converted from IEEE CDF file from:
https://labs.ece.uw.edu/pstca/
With baseKV data take from the PSAP format file from the same site,
added manually on 10-Mar-2006.
Branches 86--87, 68--116 changed from transmission lines (tap ratio = 0)
to transformers (tap ratio = 1) for consistency with bus base voltages
on 2019-02-15.
08/25/93 UW ARCHIVE 100.0 1961 W IEEE 118 Bus Test Case
MATPOWER
case118zh#
Python: pwrs.data.matpower.case118zh()
CASE118ZH Power flow data for 118 bus distribution system from Zhang, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Zhang D, Fu Z, Zhang L (2007) An improved TS algorithm for
loss-minimum reconfiguration in large-scale distribution systems.
77:685-694. doi: 10.1016/j.epsr.2006.06.005
URL: https://doi.org/10.1016/j.epsr.2006.06.005
case1197#
Python: pwrs.data.matpower.case1197()
CASE1197 Power flow data for 1197 bus distribution system
Please see CASEFORMAT for details on the case file format.
Power flow data for a hybrid 1197 bus distribution test system used for
research study. The test system is a hybrid of an existing 30 bus
medium voltage distribution system with several new low voltage 53 node
systems attached. The data is composed by Paul S. Moses modified from:
J. J. Grainger and S. Civanlar, "Volt/var control on distribution
systems with lateral branches using shunt capacitors and voltage
regulators. Part III: The numerical result," IEEE Transactions on
Power Apparatus and Systems, vol. 104, pp. 3291-3297, 1985, from which
data for the 30 bus medium voltage distribution system is extracted.
The low voltage 53 bus system is taken from actual
network data from a residential neighborhood which is part of Western
Power (Australia). The exact configuation of this system is as follows:
The 53 bus system is a low voltage residential network 415 V and
supplied from a 100 kVA 22kV/415 distribution transformer.
22 copies of this system are attached to the 30 bus system laterals
at main buses 23 to 28, 19 to 21, 10 to 15, 16 to 18, 22, and 29 to 31.
This system has a total of 1197 nodes. In this way, a representation
of common Australian distribution system layout is achieved with
both medium and low voltage section included in the one test system.
Note: The original P-Q loads of the 30 bus system [2] have been removed
and replaced by loads on the low voltage nodes defined in [1]. This
system was first used for studying smart charging algorithms of
Electric Vehicles in residential neighborhoods. If using this system,
it is recommended to cite the following:
[1] Masoum AS, Deilami S, Moses PS, Masoum MA, Abu-Siada A. Smart load
management of plug-in electric vehicles in distribution and residential
networks with charging stations for peak shaving and loss minimisation
considering voltage regulation. IET generation, transmission & distribution.
2011 Aug 1;5(8):877-88.
doi:10.1049/iet-gtd.2010.0574
[2] J. J. Grainger and S. Civanlar, "Volt/var control on distribution
systems with lateral branches using shunt capacitors and voltage
regulators. Part III: The numerical result," IEEE Transactions on
Power Apparatus and Systems, vol. 104, pp. 3291-3297, 1985.
doi: 10.1109/TPAS.1985.318842
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case11kundur#
Python: pwrs.data.matpower.case11kundur()
CASE11KUNDUR Power flow data for Kundur's test system
Please see CASEFORMAT for details on the case file format.
Data from ...
Prabha Kundur, Power System Stability and Control, McGraw-Hill, 1994.
Example 12.6, pp. 813-814.
case12da#
Python: pwrs.data.matpower.case12da()
CASE12DA Power flow data for 12 bus distribution system from Das, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
D. Das, H.S. Nagi, D.P. Kothari, "Novel method for solving radial
distribution networks", IEE Proc. C, Vol. 141, No. 4, pp. 291-298, 1994.
case1354pegase#
Python: pwrs.data.matpower.case1354pegase()
CASE1354PEGASE Power flow data for medium part of European system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of part of the
European high voltage transmission network. The network contains 1,354
buses, 260 generators, and 1,991 branches and it operates at 380 and
220 kV. Please note that the data are fictitious and do not correspond
to real world data. They can thus be used to validate methods and tools
but should not be used for operation and planning of the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (https://www.fp7-pegase.com/).
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
https://doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are 100 MVA (at 1 p.u. voltage) lower than the
current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Contacts:
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 18th, 2015
MATPOWER
Copyright (c) 2015, 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case13659pegase#
Python: pwrs.data.matpower.case13659pegase()
CASE13659PEGASE Power flow data for European system with step-up transformers.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of the European
high voltage transmission network. The network contains 13,659 buses,
4,092 generators, and 20,467 branches and it operates at 750, 400, 380,
330, 220, 154, 150, 120, and 110 kV. Low voltage buses ranging from
27,000 to 400 V are used to model step-up transformers which connect
generators to the high-voltage network. Please note that the data are
fictitious and do not correspond to real world data. They can thus be
used to validate methods and tools but should not be used for operation
and planning of the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (https://www.fp7-pegase.com/).
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
https://doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are the current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Contacts:
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
MATPOWER
Copyright (c) 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case136ma#
Python: pwrs.data.matpower.case136ma()
CASE136MA Power flow data for 135 bus distribution system from Mantovani, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Mantovani JRS, Casari F, Romero RA (2000) Reconfiguração de sistemas
de distribuição radiais utilizando o critério de queda de tensão. Rev
Bras Controle Automação - SBA 11:150-159.
case14#
Python: pwrs.data.matpower.case14()
CASE14 Power flow data for IEEE 14 bus test case.
Please see CASEFORMAT for details on the case file format.
This data was converted from IEEE Common Data Format
(ieee14cdf.txt) on 15-Oct-2014 by cdf2matp, rev. 2393
See end of file for warnings generated during conversion.
Converted from IEEE CDF file from:
https://labs.ece.uw.edu/pstca/
08/19/93 UW ARCHIVE 100.0 1962 W IEEE 14 Bus Test Case
MATPOWER
case141#
Python: pwrs.data.matpower.case141()
CASE141 Power flow data for 141 bus distribution system
Please see CASEFORMAT for details on the case file format.
Data from ...
H.M. Khodr, F.G. Olsina, P.M. De Oliveira-De Jesus, J.M. Yusta,
Maximum savings approach for location and sizing of capacitors in
distribution systems, Electric Power Systems Research, Volume 78,
Issue 7, July 2008, Pages 1192-1203
https://doi.org/10.1016/j.epsr.2007.10.002
Covers "a zone of the metropolitan area of Caracas" in Venezuela.
The data in the paper includes numerous typos, including the following
which were corrected based on the one-line diagram.
- branch 17--10 should be 17--18
- branch 16--19 should be 18--19
- branch 27--23 should be 27--28
- branch 27--26 should be 25--26
- branch 67--63 should be 67--68
- branch 66--70 should be 55--70
- branch 16--137 should be 18--137
Modifications:
v2 - 2020-10-01 (RDZ)
- Specify branch parameters in Ohms, loads in kVA.
- Added code for explicit conversion of loads from kVA
to MVA, then from MVA and power factor to MW and MVAr, and
of branch parameters from Ohms to p.u.
- Doubled load at bus 53 (100 kVA instead of 50 kVA)
- Set BASE_KV to 12.47 kV (instead of 12.5)
- Branch order as in paper (rather than sorted by from bus)
- Slack bus Vmin = Vmax = 1.0
- Gen Qmin, Qmax, Pmax magnitudes set to 100 (instead of 999)
- Branch flow limits disabled, i.e. set to 0 (instead of 999)
- Add gen cost.
case145#
Python: pwrs.data.matpower.case145()
CASE145 Power flow data for IEEE 145 bus, 50 generator dynamic test case.
See CASEFORMAT for details on the MATPOWER case file format.
Converted by MATPOWER 5.1 using CDF2MPC on 18-May-2016
from 'dd50cdf.txt'.
See end of file for warnings generated during conversion.
Converted from IEEE CDF file from:
https://labs.ece.uw.edu/pstca/, namely
https://labs.ece.uw.edu/pstca/dyn50/dd50cdf.txt
This is a solved power flow case. MATPOWER requires that the
'pf.enforce_q_lims' option be on to obtain the same solution.
01/02/90 IEEE WORKING GROUP 100.0 1990 S 50-GEN CASE
Modifications:
v2 - 2025-06-14 (WGV)
- Set tap parameter of branches # 13, 14, 15, 99, 100, 102, 104,
106, 107, 111, 113, 115, 117, 121, 122, 123, 124, 129, 130, 161,
162, 163, and 16 to 1.0 to model transformers with nominal turns
ratio. This configuration benefits the convert_1p_to_3p function.
case15da#
Python: pwrs.data.matpower.case15da()
CASE15DA Power flow data for 15 bus distribution system from Das, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Das D, Kothari DP, Kalam A (1995) Simple and efficient method for load
flow solution of radial distribution networks. Int J Electr Power
Energy Syst 17:335-346. doi: 10.1016/0142-0615(95)00050-0
URL: https://doi.org/10.1016/0142-0615(95)00050-0
case15nbr#
Python: pwrs.data.matpower.case15nbr()
CASE15NBR Power flow data for 15 bus distribution system from Battu, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Battu NR, Abhyankar AR, Senroy N (2016) DG Planning with Amalgamation
of Operational and Reliability Considerations. Int J Emerg Electr
Power Syst 17:131-141. doi: 10.1515/ijeeps-2015-0142
URL: https://doi.org/10.1515/ijeeps-2015-0142
case16am#
Python: pwrs.data.matpower.case16am()
CASE16AM Power flow data for 15 bus distribution system from Das, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Das D, Kothari DP, Kalam A (1995) Simple and efficient method for load
flow solution of radial distribution networks. Int J Electr Power
Energy Syst 17:335-346. doi: 10.1016/0142-0615(95)00050-0
URL: https://doi.org/10.1016/0142-0615(95)00050-0
case16ci#
Python: pwrs.data.matpower.case16ci()
CASE16CI Power flow data for 16 bus distribution system from Civanlar, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Civanlar S, Grainger JJ, Yin H, Lee SSH (1988) Distribution Feeder
Reconfiguration for Loss Reduction. IEEE Trans Power Deliv
3:1217-1223. doi: 10.1109/61.193906
URL: https://doi.org/10.1109/61.193906
and
Zhu JZ (2002) Optimal reconfiguration of electrical distribution
network using the refined genetic algorithm, Electr Power Syst Res
62:37-42. doi: 10.1016/S0378-7796(02)00041-X
URL: https://doi.org/10.1016/S0378-7796(02)00041-X
case17me#
Python: pwrs.data.matpower.case17me()
CASE17ME Power flow data for 18 bus distribution system from Mendoza, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Mendoza J, Morales D, Lopez R, et al (2007) Multi-objective Location
of Automatic Voltage Regulators in a Radial Distribution Network Using
a Micro Genetic Algorithm. IEEE Trans Power Syst 22:404-411.
case18#
Python: pwrs.data.matpower.case18()
CASE18 Power flow data for 18 bus distribution system
Please see CASEFORMAT for details on the case file format.
Data from ...
W. M. Grady, M. J. Samotyj and A. H. Noyola, "The application of
network objective functions for actively minimizing the impact of
voltage harmonics in power systems," IEEE Transactions on Power
Delivery, vol. 7, no. 3, pp. 1379-1386, Jul 1992.
https://doi.org/10.1109/61.141855
Modifications:
v2 - 2020-09-30 (RDZ)
- Change baseMVA to 10 MVA.
- Convert to original (non-consecutive) bus numbers and original
bus and branch ordering.
- Set baseKV for buses 50, 51 to 138kV
- Round off branch parameters to original values from paper
- Slack bus Vmin = Vmax = 1.05
- Gen Qmin, Qmax, Pmax magnitudes set to 100 (instead of 999)
- Branch flow limits disabled, i.e. set to 0 (instead of 999)
- Add gen cost.
v3 - 2025-06-14 (WGV)
- Set the tap parameter of branch # 16 to 1.0 to model a transformer
with nominal turns ratio. This configuration benefits the
convert_1p_to_3p function.
case1888rte#
Python: pwrs.data.matpower.case1888rte()
CASE1888RTE AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage transmission network.
Part of this data was sampled in the offline platform of iTesla project.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
Contacts:
Cedric Josz, Stephane Fliscounakis, Jean Maeght, Patrick Panciatici
Primary contact for this file: Jean Maeght
firstname.lastname@rte-france.com
Reseau de Transport d'Electricite (French Transmission System Operator)
R&D Division, Paris La Defense
Modifications:
v2 - 2019-06-05 - Generator has been added at slack bus.
June 5th, 2019
MATPOWER
Copyright (c) 2016, 2019 by Cedric Josz, Stephane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case18nbr#
Python: pwrs.data.matpower.case18nbr()
CASE18NBR Power flow data for 18 bus distribution system from Battu, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Battu NR, Abhyankar AR, Senroy N (2016) DG Planning with Amalgamation
of Operational and Reliability Considerations. Int J Emerg Electr
Power Syst 17:131-141. doi: 10.1515/ijeeps-2015-0142
URL: https://doi.org/10.1515/ijeeps-2015-0142
case1951rte#
Python: pwrs.data.matpower.case1951rte()
CASE1951RTE AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage transmission network.
Part of this data was sampled in the offline platform of iTesla project.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
Contacts:
Cedric Josz, Stephane Fliscounakis, Jean Maeght, Patrick Panciatici
Primary contact for this file: Jean Maeght
firstname.lastname@rte-france.com
Reseau de Transport d'Electricite (French Transmission System Operator)
R&D Division, Paris La Defense
Modifications:
v2 - 2019-06-05 - Generator has been added at slack bus.
June 5th, 2019
MATPOWER
Copyright (c) 2016, 2019 by Cedric Josz, Stephane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case22#
Python: pwrs.data.matpower.case22()
CASE22 Power flow data for 22 bus distribution system from Raju, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
M. Ramalinga Raju, K.V.S. Ramachandra Murthy, K. Ravindra,
Direct search algorithm for capacitive compensation in radial
distribution systems, International Journal of Electrical Power &
Energy Systems, Volume 42, Issue 1, November 2012, Pages 24-30
https://doi.org/10.1016/j.ijepes.2012.03.006
Represents "a small portion of agricultural distribution of Eastern
Power Distribution system in India."
Modifications:
v2 - 2020-09-30 (RDZ, based on contrib by Houssem Bouchekara, et al)
- Move branch 4--9 from row 8 to row 5 to match original order.
- Added code for explicit conversion of loads from kW to MW and
branch parameters from Ohms to p.u.
- Bus 1 Vmin = Vmax = 1.0
- Gen Qmin, Qmax, Pmax magnitudes set to 10 (instead of 999)
- Branch flow limits disabled, i.e. set to 0 (instead of 999)
- Add gen cost.
- Change baseMVA to 1 MVA.
case2383wp#
Python: pwrs.data.matpower.case2383wp()
CASE2383WP Power flow data for Polish system - winter 1999-2000 peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
winter 1999-2000 peak conditions. It is part of the 7500+ bus
Europen UCTE system. To decrease the number of buses, the tie lines
to foreign networks were replaced by artificial load or generator
buses (180-186). Multiple generators at a bus have been aggregated.
Generators that are not centrally dispatchable in the Polish energy
market are given a cost of zero.
This data was graciously provided by, and is distributed with the
permission of, Roman Korab <roman.korab@polsl.pl>.
MODIFIED 2018-10-16 (RDZ): Corrected sign of phase shifter angles
in this case to reflect correction of phase shifter sign
convention in MATPOWER code made on 2007-06-21 and included
in MATPOWER v3.2. Original version of this case was based
on the old sign convention. (Thanks to Mikhail Khokhlov and
Dr. Artjoms Obusevs for reporting.)
MATPOWER
case24_ieee_rts#
Python: pwrs.data.matpower.case24_ieee_rts()
CASE24_IEEE_RTS Power flow data for the IEEE RELIABILITY TEST SYSTEM.
Please see CASEFORMAT for details on the case file format.
This system data is from the IEEE RELIABILITY TEST SYSTEM, see
IEEE Reliability Test System Task Force of the Applications of
Probability Methods Subcommittee, "IEEE reliability test system,"
IEEE Transactions on Power Apparatus and Systems, Vol. 98, No. 6,
Nov./Dec. 1979, pp. 2047-2054.
IEEE Reliability Test System Task Force of Applications of
Probability Methods Subcommittee, "IEEE reliability test system-96,"
IEEE Transactions on Power Systems, Vol. 14, No. 3, Aug. 1999,
pp. 1010-1020.
Cost data is from Web site run by Georgia Tech Power Systems Control
and Automation Laboratory:
http://pscal.ece.gatech.edu/testsys/index.html
MATPOWER case file data provided by Bruce Wollenberg.
MATPOWER
case2736sp#
Python: pwrs.data.matpower.case2736sp()
CASE2736SP Power flow data for Polish system - summer 2004 peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
summer 2004 peak conditions. Multiple centrally dispatchable
generators at a bus have not been aggregated. Generators that are
not centrally dispatchable in the Polish energy market are given a
cost of zero.
This data was graciously provided by, and is distributed with the
permission of, Roman Korab <roman.korab@polsl.pl>.
MODIFIED 2018-10-16 (RDZ): Corrected sign of phase shifter angles
in this case to reflect correction of phase shifter sign
convention in MATPOWER code made on 2007-06-21 and included
in MATPOWER v3.2. Original version of this case was based
on the old sign convention. (Thanks to Mikhail Khokhlov and
Dr. Artjoms Obusevs for reporting.)
MATPOWER
case2737sop#
Python: pwrs.data.matpower.case2737sop()
CASE2737SOP Power flow data for Polish system - summer 2004 off-peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
summer 2004 off-peak conditions. Multiple centrally dispatchable
generators at a bus have not been aggregated. Generators that are
not centrally dispatchable in the Polish energy market are given a
cost of zero.
This data was graciously provided by, and is distributed with the
permission of, Roman Korab <roman.korab@polsl.pl>.
MODIFIED 2018-10-16 (RDZ): Corrected sign of phase shifter angles
in this case to reflect correction of phase shifter sign
convention in MATPOWER code made on 2007-06-21 and included
in MATPOWER v3.2. Original version of this case was based
on the old sign convention. (Thanks to Mikhail Khokhlov and
Dr. Artjoms Obusevs for reporting.)
MATPOWER
case2746wop#
Python: pwrs.data.matpower.case2746wop()
CASE2746WOP Power flow data for Polish system - winter 2003-04 off-peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
winter 2003-04 off-peak conditions. Multiple centrally dispatchable
generators at a bus have not been aggregated. Generators that are
not centrally dispatchable in the Polish energy market are given a
cost of zero.
This data was graciously provided by, and is distributed with the
permission of, Roman Korab <roman.korab@polsl.pl>.
MODIFIED 2018-10-16 (RDZ): Corrected sign of phase shifter angles
in this case to reflect correction of phase shifter sign
convention in MATPOWER code made on 2007-06-21 and included
in MATPOWER v3.2. Original version of this case was based
on the old sign convention. (Thanks to Mikhail Khokhlov and
Dr. Artjoms Obusevs for reporting.)
MATPOWER
case2746wp#
Python: pwrs.data.matpower.case2746wp()
CASE2746WP Power flow data for Polish system - winter 2003-04 evening peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
winter 2003-04 evening peak conditions. Multiple centrally
dispatchable generators at a bus have not been aggregated.
Generators that are not centrally dispatchable in the Polish
energy market are given a cost of zero.
This data was graciously provided by, and is distributed with the
permission of, Roman Korab <roman.korab@polsl.pl>.
MODIFIED 2018-10-16 (RDZ): Corrected sign of phase shifter angles
in this case to reflect correction of phase shifter sign
convention in MATPOWER code made on 2007-06-21 and included
in MATPOWER v3.2. Original version of this case was based
on the old sign convention. (Thanks to Mikhail Khokhlov and
Dr. Artjoms Obusevs for reporting.)
MATPOWER
case2848rte#
Python: pwrs.data.matpower.case2848rte()
CASE2848RTE AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage transmission network.
Part of this data was sampled in the offline platform of iTesla project.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
Contacts:
Cedric Josz, Stephane Fliscounakis, Jean Maeght, Patrick Panciatici
Primary contact for this file: Jean Maeght
firstname.lastname@rte-france.com
Reseau de Transport d'Electricite (French Transmission System Operator)
R&D Division, Paris La Defense
Modifications:
v2 - 2019-06-05 - Generator has been added at slack bus.
June 5th, 2019
MATPOWER
Copyright (c) 2016, 2019 by Cedric Josz, Stephane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case2868rte#
Python: pwrs.data.matpower.case2868rte()
CASE2868RTE AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage transmission network.
Part of this data was sampled in the offline platform of iTesla project.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
Contacts:
Cedric Josz, Stephane Fliscounakis, Jean Maeght, Patrick Panciatici
Primary contact for this file: Jean Maeght
firstname.lastname@rte-france.com
Reseau de Transport d'Electricite (French Transmission System Operator)
R&D Division, Paris La Defense
Modifications:
v2 - 2019-06-05 - Generator has been added at slack bus.
June 5th, 2019
MATPOWER
Copyright (c) 2016, 2019 by Cedric Josz, Stephane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case2869pegase#
Python: pwrs.data.matpower.case2869pegase()
CASE2869PEGASE Power flow data for large part of European system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of part of the
European high voltage transmission network. The network contains 2,869
buses, 510 generators, and 4,582 branches and it operates at 380, 220,
150, and 110 kV. Please note that the data are fictitious and do not
correspond to real world data. They can thus be used to validate
methods and tools but should not be used for operation and planning of
the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (https://www.fp7-pegase.com/).
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
https://doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are the current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Contacts:
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 18th, 2015
MATPOWER
Copyright (c) 2015, 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case28da#
Python: pwrs.data.matpower.case28da()
CASE28DA Power flow data for 28 bus distribution system from Das, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
D. Das, H.S. Nagi, D.P. Kothari, "Novel method for solving radial
distribution networks", IEE Proc. C, Vol. 141, No. 4, pp. 291-298,
1994.
case30#
Python: pwrs.data.matpower.case30()
CASE30 Power flow data for 30 bus, 6 generator case.
Please see CASEFORMAT for details on the case file format.
Based on data from ...
Alsac, O. & Stott, B., "Optimal Load Flow with Steady State Security",
IEEE Transactions on Power Apparatus and Systems, Vol. PAS 93, No. 3,
1974, pp. 745-751.
... with branch parameters rounded to nearest 0.01, shunt values divided
by 100 and shunt on bus 10 moved to bus 5, load at bus 5 zeroed out.
Generator locations, costs and limits and bus areas were taken from ...
Ferrero, R.W., Shahidehpour, S.M., Ramesh, V.C., "Transaction analysis
in deregulated power systems using game theory", IEEE Transactions on
Power Systems, Vol. 12, No. 3, Aug 1997, pp. 1340-1347.
Generator Q limits were derived from Alsac & Stott, using their Pmax
capacities. V limits and line |S| limits taken from Alsac & Stott.
MATPOWER
case300#
Python: pwrs.data.matpower.case300()
CASE300 Power flow data for IEEE 300 bus test case.
Please see CASEFORMAT for details on the case file format.
This data was converted from IEEE Common Data Format
(ieee300cdf.txt) on 18-Nov-2014 by cdf2matp, rev. 2393
See end of file for warnings generated during conversion.
Converted from IEEE CDF file from:
https://labs.ece.uw.edu/pstca/
13/05/91 CYME INTERNATIONAL 100.0 1991 S IEEE 300-BUS TEST SYSTEM
Modifications:
v2 - 2025-06-14 (WGV)
- Set tap parameter of branches # 71, 90, 188, 189, 190, 191, 192,
193, 208, 232, 233, 267, 279, 299, 310, 313, 315, 316, 318, 320,
324, and 325 to 1.0 to model transformers with nominal turns
ratio. This configuration benefits the convert_1p_to_3p function.
case3012wp#
Python: pwrs.data.matpower.case3012wp()
CASE3012WP Power flow data for Polish system - winter 2007-08 evening peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
winter 2007-08 evening peak conditions.
This data was graciously provided by, and is distributed with the
permission of, Roman Korab <roman.korab@polsl.pl>.
MATPOWER
case30Q#
Python: pwrs.data.matpower.case30Q()
CASE30Q Case 30 with costs for reactive generation.
Please see CASEFORMAT for details on the case file format.
Identical to case30.m, with the addition of non-zero costs for
reactive power.
MATPOWER
case30pwl#
Python: pwrs.data.matpower.case30pwl()
CASE30PWL Case 30 with piece-wise linear generator costs.
Please see CASEFORMAT for details on the case file format.
Identical to case30.m, except with piece-wise linear generator costs.
MATPOWER
case3120sp#
Python: pwrs.data.matpower.case3120sp()
CASE3120SP Power flow data for Polish system - summer 2008 morning peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
summer 2008 morning peak conditions.
This data was graciously provided by, and is distributed with the
permission of, Roman Korab <roman.korab@polsl.pl>.
MATPOWER
case3375wp#
Python: pwrs.data.matpower.case3375wp()
CASE3375WP Power flow data for Polish system - winter 2007-08 evening peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
winter 2007-08 evening peak conditions and includes some equivalents
of the German, Czech and Slovak networks.
This data was graciously provided by, and is distributed with the
permission of, Roman Korab <roman.korab@polsl.pl>.
MODIFIED 2015-04-24 (RDZ): Commented out bus 10287, which was
isolated, resulting in a singular power flow Jacobian.
MODIFIED 2018-10-16 (RDZ): Corrected sign of phase shifter angles
in this case to reflect correction of phase shifter sign
convention in MATPOWER code made on 2007-06-21 and included
in MATPOWER v3.2. Original version of this case was based
on the old sign convention. (Thanks to Mikhail Khokhlov and
Dr. Artjoms Obusevs for reporting.)
MATPOWER
case33bw#
Python: pwrs.data.matpower.case33bw()
CASE33BW Power flow data for 33 bus distribution system from Baran & Wu
Please see CASEFORMAT for details on the case file format.
Data from ...
M. E. Baran and F. F. Wu, "Network reconfiguration in distribution
systems for loss reduction and load balancing," in IEEE Transactions
on Power Delivery, vol. 4, no. 2, pp. 1401-1407, Apr 1989.
doi: 10.1109/61.25627
URL: https://doi.org/10.1109/61.25627
case33mg#
Python: pwrs.data.matpower.case33mg()
CASE33MG Power flow data for 33 bus distribution system from Kashem, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
M. A. Kashem, V. Ganapathy, G. B. Jasmon & M. Buhari, "A
novel method for loss minimization in distribution networks," in
International Conference on Electric Utility Deregulation and
Restructuring and Power Technologies (DRPT 2000), 2000.
Author : Bouchekara Houssem
case34sa#
Python: pwrs.data.matpower.case34sa()
CASE34SA Power flow data for 18 bus distribution system from Salama & Chikhani
Please see CASEFORMAT for details on the case file format.
Data from ...
Salama MMA, Chikhani AY (1993) Simplified network approach to the var
control problem for radial distribution systems. IEEE Trans Power
Deliv 8:1529-1535. doi: 10.1109/61.252679
URL: https://doi.org/10.1109/61.252679
case38si#
Python: pwrs.data.matpower.case38si()
CASE38SI Power flow data for 38 bus distribution system from Singh & Misra
Please see CASEFORMAT for details on the case file format.
Data from ...
Singh D, Misra RK (2007) Effect of Load Models in Distributed
Generation Planning. Power Syst IEEE Trans 22:2204-2212.
doi: 10.1109/TPWRS.2007.907582
URL: https://doi.org/10.1109/TPWRS.2007.907582
case39#
Python: pwrs.data.matpower.case39()
CASE39 Power flow data for 39 bus New England system.
Please see CASEFORMAT for details on the case file format.
Data taken from [1] with the following modifications/additions:
- renumbered gen buses consecutively (as in [2] and [4])
- added Pmin = 0 for all gens
- added Qmin, Qmax for gens at 31 & 39 (copied from gen at 35)
- added Vg based on V in bus data (missing for bus 39)
- added Vg, Pg, Pd, Qd at bus 39 from [2] (same in [4])
- added Pmax at bus 39: Pmax = Pg + 100
- added line flow limits and area data from [4]
- added voltage limits, Vmax = 1.06, Vmin = 0.94
- added identical quadratic generator costs
- increased Pmax for gen at bus 34 from 308 to 508
(assumed typo in [1], makes initial solved case feasible)
- re-solved power flow
Notes:
- Bus 39, its generator and 2 connecting lines were added
(by authors of [1]) to represent the interconnection with
the rest of the eastern interconnect, and did not include
Vg, Pg, Qg, Pd, Qd, Pmin, Pmax, Qmin or Qmax.
- As the swing bus, bus 31 did not include and Q limits.
- The voltages, etc in [1] appear to be quite close to the
power flow solution of the case before adding bus 39 with
it's generator and connecting branches, though the solution
is not exact.
- Explicit voltage setpoints for gen buses are not given, so
they are taken from the bus data, however this results in two
binding Q limits at buses 34 & 37, so the corresponding
voltages have probably deviated from their original setpoints.
- The generator locations and types are as follows:
1 30 hydro
2 31 nuke01
3 32 nuke02
4 33 fossil02
5 34 fossil01
6 35 nuke03
7 36 fossil04
8 37 nuke04
9 38 nuke05
10 39 interconnection to rest of US/Canada
This is a solved power flow case, but it includes the following
violations:
- Pmax violated at bus 31: Pg = 677.87, Pmax = 646
- Qmin violated at bus 37: Qg = -1.37, Qmin = 0
References:
[1] G. W. Bills, et.al., "On-Line Stability Analysis Study"
RP90-1 Report for the Edison Electric Institute, October 12, 1970,
pp. 1-20 - 1-35.
prepared by E. M. Gulachenski - New England Electric System
J. M. Undrill - General Electric Co.
"generally representative of the New England 345 KV system, but is
not an exact or complete model of any past, present or projected
configuration of the actual New England 345 KV system.
[2] M. A. Pai, Energy Function Analysis for Power System Stability,
Kluwer Academic Publishers, Boston, 1989.
(references [3] as source of data)
[3] Athay, T.; Podmore, R.; Virmani, S., "A Practical Method for the
Direct Analysis of Transient Stability," IEEE Transactions on Power
Apparatus and Systems , vol.PAS-98, no.2, pp.573-584, March 1979.
URL: https://doi.org/10.1109/TPAS.1979.319407
(references [1] as source of data)
[4] Data included with TC Calculator at http://www.pserc.cornell.edu/tcc/
for 39-bus system.
MATPOWER
case4_dist#
Python: pwrs.data.matpower.case4_dist()
CASE4_DIST Power flow data for 4 bus radial distribution system
case4gs#
Python: pwrs.data.matpower.case4gs()
CASE4GS Power flow data for 4 bus, 2 gen case from Grainger & Stevenson.
Please see CASEFORMAT for details on the case file format.
This is the 4 bus example from pp. 337-338 of "Power System Analysis",
by John Grainger, Jr., William Stevenson, McGraw-Hill, 1994.
case5#
Python: pwrs.data.matpower.case5()
CASE5 Power flow data for modified 5 bus, 5 gen case based on PJM 5-bus system
Please see CASEFORMAT for details on the case file format.
Based on data from ...
F.Li and R.Bo, "Small Test Systems for Power System Economic Studies",
Proceedings of the 2010 IEEE Power & Energy Society General Meeting
Created by Rui Bo in 2006, modified in 2010, 2014.
Distributed with permission.
case51ga#
Python: pwrs.data.matpower.case51ga()
CASE51GA Power flow data for 51 bus distribution system from Gampa & Das
Please see CASEFORMAT for details on the case file format.
Data from ...
Gampa SR, Das D (2015) Optimum placement and sizing of DGs considering
average hourly variations of load. Int J Electr Power Energy Syst
66:25-40. doi: 10.1016/j.ijepes.2014.10.047
URL: https://doi.org/10.1016/j.ijepes.2014.10.047
case51he#
Python: pwrs.data.matpower.case51he()
CASE51HE Power flow data for 51 bus distribution system from Hengsritawat, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Hengsritawat V, Tayjasanant T, Nimpitiwan N (2012) Optimal sizing of
photovoltaic distributed generators in a distribution system with
consideration of solar radiation and harmonic distortion. Int J Electr
Power Energy Syst 39:36-47. doi: 10.1016/j.ijepes.2012.01.002
URL: https://doi.org/10.1016/j.ijepes.2012.01.002
case533mt_hi#
Python: pwrs.data.matpower.case533mt_hi()
CASE533MT Power flow data for 533-bus distribution system from Malmer & Thorin
Please see CASEFORMAT for details on the case file format.
This case is based on real system data from the local DSO Kraftringen in
southern Sweden. The system covers about 20x30 km and serves about 30,000
inhabitants plus an industrial area.
In 2022, the total net load in the system ranged from -5 to 45 MW.
The default loads in this case correspond to the net loads during
the maximum net load hour of 2022 (Pd_tot = 45 MW).
Data from ...
G. Malmer & L. Thorin,
"Network reconfiguration for renewable generation maximization",
Master's thesis, Lund University, 2023
URL: http://lup.lub.lu.se/student-papers/record/9124806
Modifications:
v2 - 2025-06-14 (WGV)
- Set the tap parameter of branch # 1 and 2 to 1.0 to model
transformers with nominal turns ratio. This configuration
benefits the convert_1p_to_3p function.
Copyright (c) 2023 by Gabriel Malmer and Lovisa Thorin
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case533mt_lo#
Python: pwrs.data.matpower.case533mt_lo()
CASE533MT Power flow data for 533-bus distribution system from Malmer & Thorin
Please see CASEFORMAT for details on the case file format.
This case is based on real system data from the local DSO Kraftringen in
southern Sweden. The system covers about 20x30 km and serves about 30,000
inhabitants plus an industrial area.
In 2022, the total net load in the system ranged from -5 to 45 MW.
The default loads in this case correspond to the net loads during
the minimum net load hour of 2022 (Pd_tot = -5 MW).
Data from ...
G. Malmer & L. Thorin,
"Network reconfiguration for renewable generation maximization",
Master's thesis, Lund University, 2023
URL: http://lup.lub.lu.se/student-papers/record/9124806
Modifications:
v2 - 2025-06-14 (WGV)
- Set the tap parameter of branch # 1 and 2 to 1.0 to model
transformers with nominal turns ratio. This configuration
benefits the convert_1p_to_3p function.
Copyright (c) 2023 by Gabriel Malmer and Lovisa Thorin
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case57#
Python: pwrs.data.matpower.case57()
CASE57 Power flow data for IEEE 57 bus test case.
Please see CASEFORMAT for details on the case file format.
This data was converted from IEEE Common Data Format
(ieee57cdf.txt) on 15-Oct-2014 by cdf2matp, rev. 2393
See end of file for warnings generated during conversion.
Converted from IEEE CDF file from:
https://labs.ece.uw.edu/pstca/
Manually modified Qmax, Qmin on generator 1 to 200, -140, respectively.
08/25/93 UW ARCHIVE 100.0 1961 W IEEE 57 Bus Test Case
MATPOWER
case59#
Python: pwrs.data.matpower.case59()
CASE59 Power flow data for 59 bus Australian 14 generator system.
Please see CASEFORMAT for details on the case file format.
This MATPOWER file is based on reports of IEEE-PES-TR18 entitled
"Benchmark Systems for Small-Signal Stability Analysis and Control"
from IEEE PES Task Force on Benchmark Systems for Stability Controls.
A summary of this report has been published in the paper
entitled "Benchmark Models for the Analysis and Control of Small-Signal
Oscillatory Dynamics in Power Systems."
On below link, reports and data files for six benchmark systems have
been provided.
https://cmte.ieee.org/pes-psdp/benchmark-systems-2/
The current file is based on the Australian 14 generator system report
entitled "Simplified 14-Generator Model of the South East Australian
Power System" and its accompanying data files. In the
AU14GenModelData_Ver04.zip, load flow files are available for different
load cases. We prepared MATPOWER file based on load case 1 data, and
it is possible to prepare files for other load cases.
This MATPOWER file has been prepared using LF_Case01_R4_S.raw, which
is available in AU14GenModelData_Ver04.zip.
Notes:
##bus data (LF_Case01_R4_S.raw file: BUS DATA and LOAD DATA)
- Bus types are based on the data file. In the data file, nineteen
buses 1,3,4,5,6,7,20,21,32,35,36,37,38,46,51,52,53,57, and 59 are
generator buses.
- Bus No. 1 has been considered as REF = 3. Other generator buses
as PV = 2. Remained buses (niether REF, nor PV) as PQ = 1.
- Main 14 generator buses are: 1,3,4,5,6,20,21,35,36,37,38,51,52,
and 53. In buses 7,32,46,57, and 59, Pg is 0.
- Parameters (for power flow analysis) in bus data and generator
data (Pd, Qd, Vm/Vg, Va, and baseKV) are based on the data file.
- For Gs, Bs, zone, Vmax, and Vmin, typical values of other
MATPOWER files were set.
- For area, original bus numbers' first digit, refers to the
corresponding area. Australian 14 generator system covers 5 areas.
- In this file, we converted three digit bus numbers to 1-59 buses.
Also, we consider whole system as a single area, so we set all
areas as 1 (1 ref bus; 1 area).
##generator data (LF_Case01_R4_S.raw file: GENERATOR DATA)
- For Pg and Qg, the data file values were set.
- For Qmin and Qmax, no limits were set (-Inf,Inf).
- For Pmin and Pmax, (0, Inf) were considered.
- For mBase, status, Pmax, Pmin, Pc1, Pc2, Qc1min, Qc1max, Qc2min,
Qc2max, ramp_agc, ramp_10, ramp_30, ramp_q, and apf, MATPOWER
typical values were set.
##branch data (LF_Case01_R4_S.raw file: BRANCH DATA and TRANSFORMER
DATA)
- For transmission lines, r, x, and b values from BRANCH DATA and
ratio = 1 were entered.
- For transmission line (29-30), x value was -0.03370, which was
set positive.
- For transformers, x and ratio values from TRANSFORMER DATA were used.
- For rateA, rateB, and rateC, 0 was set (MATPOWER Manual: set to 0
for unlimited).
- For angle, status, angmin, and angmax, typical MATPOWER values
were set.
- Bus numbers from LF_Case01_R4_S.raw file were changed as follows:
101 > 1 ref
102 2
201 3 PV
202 4 PV
203 5 PV
204 6 PV
205 7 PV
206 8
207 9
208 10
209 11
210 12
211 13
212 14
213 15
214 16
215 17
216 18
217 19
301 20 PV
302 21 PV
303 22
304 23
305 24
306 25
307 26
308 27
309 28
310 29
311 30
312 31
313 32 PV
314 33
315 34
401 35 PV
402 36 PV
403 37 PV
404 38 PV
405 39
406 40
407 41
408 42
409 43
410 44
411 45
412 46 PV
413 47
414 48
415 49
416 50
501 51 PV
502 52 PV
503 53 PV
504 54
505 55
506 56
507 57 PV
508 58
509 > 59 PV
References:
[1] C. Canizares et al., "Benchmark Models for the Analysis and
Control of Small-Signal Oscillatory Dynamics in Power Systems,"
in IEEE Transactions on Power Systems, vol. 32, no. 1,
pp. 715-722, Jan. 2017,
doi: 10.1109/TPWRS.2016.2561263.
[2] Benchmark Systems for Small-Signal Stability Analysis and Control.
https://cmte.ieee.org/pes-psdp/benchmark-systems-2/
[3] M.J. Gibbard & D.J. Vowles, "Simplified 14-Generator Model of
the South East Australian Power System", Revision 4, School
of Electrical & Electronic Engineering, The University of
Adelaide, South Australia, 14 June 2014.
(references [3] as source of data)
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case6468rte#
Python: pwrs.data.matpower.case6468rte()
CASE6468RTE AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage and high voltage transmission network.
These data are snapshots of French VHV+HV grid in 2013.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
Contacts:
Cedric Josz, Stephane Fliscounakis, Jean Maeght, Patrick Panciatici
Primary contact for this file: Jean Maeght
firstname.lastname@rte-france.com
Reseau de Transport d'Electricite (French Transmission System Operator)
R&D Division, Paris La Defense
Modifications:
v2 - 2019-06-05 - Generator has been added at slack bus.
June 5th, 2019
MATPOWER
Copyright (c) 2016, 2019 by Cedric Josz, Stephane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case6470rte#
Python: pwrs.data.matpower.case6470rte()
CASE6470RTE AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage and high voltage transmission network.
These data are snapshots of French VHV+HV grid in 2013.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
Contacts:
Cedric Josz, Stephane Fliscounakis, Jean Maeght, Patrick Panciatici
Primary contact for this file: Jean Maeght
firstname.lastname@rte-france.com
Reseau de Transport d'Electricite (French Transmission System Operator)
R&D Division, Paris La Defense
Modifications:
v2 - 2019-06-05 - Generator has been added at slack bus.
June 5th, 2019
MATPOWER
Copyright (c) 2016, 2019 by Cedric Josz, Stephane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case6495rte#
Python: pwrs.data.matpower.case6495rte()
CASE6495RTE AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage and high voltage transmission network.
These data are snapshots of French VHV+HV grid in 2013.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
Contacts:
Cedric Josz, Stephane Fliscounakis, Jean Maeght, Patrick Panciatici
Primary contact for this file: Jean Maeght
firstname.lastname@rte-france.com
Reseau de Transport d'Electricite (French Transmission System Operator)
R&D Division, Paris La Defense
Modifications:
v2 - 2019-06-05 - Generator has been added at slack bus.
June 5th, 2019
MATPOWER
Copyright (c) 2016, 2019 by Cedric Josz, Stephane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case6515rte#
Python: pwrs.data.matpower.case6515rte()
CASE6515RTE AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage and high voltage transmission network.
These data are snapshots of French VHV+HV grid in 2013.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
Contacts:
Cedric Josz, Stephane Fliscounakis, Jean Maeght, Patrick Panciatici
Primary contact for this file: Jean Maeght
firstname.lastname@rte-france.com
Reseau de Transport d'Electricite (French Transmission System Operator)
R&D Division, Paris La Defense
Modifications:
v2 - 2019-06-05 - Generator has been added at slack bus.
June 5th, 2019
MATPOWER
Copyright (c) 2016, 2019 by Cedric Josz, Stephane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case69#
Python: pwrs.data.matpower.case69()
CASE69 Power flow data for 69 bus distribution system
Please see CASEFORMAT for details on the case file format.
Data from ...
M. E. Baran and F. F. Wu, "Optimal capacitor placement on radial
distribution systems," in IEEE Transactions on Power Delivery,
vol. 4, no. 1, pp. 725-734, Jan. 1989, doi: 10.1109/61.19265.
https://doi.org/10.1109/61.19265
Derived "from a portion of the PG&E distribution system".
Also in ...
D. Das, Optimal placement of capacitors in radial distribution
system using a Fuzzy-GA method, International Journal of Electrical
Power & Energy Systems, Volume 30, Issues 6–7, July–September 2008,
Pages 361-367
https://doi.org/10.1016/j.ijepes.2007.08.004
Modifications:
v2 - 2020-09-30 (RDZ)
- Cite original source (Baran & Wu)
- Specify branch parameters in Ohms, loads in kW.
- Added code for explicit conversion of loads from kW to MW and
branch parameters from Ohms to p.u.
- Set BASE_KV to 12.66 kV (instead of 12.7)
- Slack bus Vmin = Vmax = 1.0
- Gen Qmin, Qmax, Pmax magnitudes set to 10 (instead of 999)
- Branch flow limits disabled, i.e. set to 0 (instead of 999)
- Add gen cost.
case6ww#
Python: pwrs.data.matpower.case6ww()
CASE6WW Power flow data for 6 bus, 3 gen case from Wood & Wollenberg.
Please see CASEFORMAT for details on the case file format.
This is the 6 bus example from pp. 104, 112, 119, 123-124, 549 of
"Power Generation, Operation, and Control, 2nd Edition",
by Allen. J. Wood and Bruce F. Wollenberg, John Wiley & Sons, NY, Jan 1996.
case70da#
Python: pwrs.data.matpower.case70da()
CASE70DA Power flow data for 70 bus distribution system from Das
Please see CASEFORMAT for details on the case file format.
Data from ...
Das D (2006) Reconfiguration of distribution system using fuzzy
multi-objective approach. Int J Electr Power Energy Syst 28:331-338.
doi: 10.1016/j.ijepes.2005.08.018
URL: https://doi.org/10.1016/j.ijepes.2005.08.018
case74ds#
Python: pwrs.data.matpower.case74ds()
CASE74DS Power flow data for 74 bus distribution system from Myint & Naing
Please see CASEFORMAT for details on the case file format.
Data from ...
Myint SM, Naing SW (2015) "Network Reconfiguration For Loss Reduction
And Voltage Stability Improvement Of 74-Bus Radial Distribution System
Using Particle Swarm Optimization Algorithm", International Journal of
Electrical, Electronics and Data Communication, ISSN: 2320-2084
Volume 3, Issue 6, June 2015.
case85#
Python: pwrs.data.matpower.case85()
CASE85 Power flow data for 85 bus distribution system from Das, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
D. Das, D.P. Kothari, A. Kalam, Simple and efficient method for
load flow solution of radial distribution networks, International
Journal of Electrical Power & Energy Systems, Volume 17, Issue 5,
1995, Pages 335-346. doi: 10.1016/0142-0615(95)00050-0
URL: https://doi.org/10.1016/0142-0615(95)00050-0
Modifications:
v2 - 2020-09-30 (RDZ)
- Removed load at bus 60. There appears to be a typo in the paper,
with the load for bus 61 repeated. The original case85.m assumed
a typo in the bus number, and put the first instance at bus 60.
This version assumes it was a simple erroneous duplicate entry,
since it results in a power flow solution that matches the one in
the paper more closely.
- Added code for explicit conversion of loads from kW to MW and
branch parameters from Ohms to p.u.
- Bus 1 Vmin = Vmax = 1.0
- Gen Qmin, Qmax, Pmax magnitudes set to 10 (instead of 999)
- Branch flow limits disabled, i.e. set to 0 (instead of 999)
- Add gen cost.
- Change baseMVA to 1 MVA.
case89pegase#
Python: pwrs.data.matpower.case89pegase()
CASE89PEGASE Power flow data for small part of European system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of part of the
European high voltage transmission network. The network contains 89
buses, 12 generators, and 210 branches and it operates at 380, 220, and
150 kV. Please note that the data are fictitious and do not correspond
to real world data. They can thus be used to validate methods and tools
but should not be used for operation and planning of the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (https://www.fp7-pegase.com/).
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
https://doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are 20 MVA (at 1 p.u. voltage) greater than the
current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Contacts:
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 18th, 2015
MATPOWER
Copyright (c) 2015, 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case9#
Python: pwrs.data.matpower.case9()
CASE9 Power flow data for 9 bus, 3 generator case.
Please see CASEFORMAT for details on the case file format.
Based on data from p. 70 of:
Chow, J. H., editor. Time-Scale Modeling of Dynamic Networks with
Applications to Power Systems. Springer-Verlag, 191082.
Part of the Lecture Notes in Control and Information Sciences book
series (LNCIS, volume 46)
which in turn appears to come from:
R.P. Schulz, A.E. Turner and D.N. Ewart, "Long Term Power System
Dynamics," EPRI Report 90-7-0, Palo Alto, California, 1974.
case9241pegase#
Python: pwrs.data.matpower.case9241pegase()
CASE9241PEGASE Power flow data for European system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of the European
high voltage transmission network. The network contains 9,241 buses,
1,445 generators, and 16,049 branches and it operates at 750, 400, 380,
330, 220, 154, 150, 120, and 110 kV. Please note that the data are
fictitious and do not correspond to real world data. They can thus be
used to validate methods and tools but should not be used for operation
and planning of the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (https://www.fp7-pegase.com/).
When publishing results based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici, "AC Power Flow
Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
https://arxiv.org/abs/1603.01533
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
https://doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are the current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Contacts:
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 18th, 2015
MATPOWER
Copyright (c) 2015, 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case94pi#
Python: pwrs.data.matpower.case94pi()
CASE94PI Power flow data for 70 bus distribution system from Pires, et al
Please see CASEFORMAT for details on the case file format.
Data from ...
Pires DF, Antunes CH, Martins AG (2012) NSGA-II with local search for
a multi-objective reactive power compensation problem. Int J Electr
Power Energy Syst 43:313-324. doi: 10.1016/j.ijepes.2012.05.024
URL: https://doi.org/10.1016/j.ijepes.2012.05.024
case9Q#
Python: pwrs.data.matpower.case9Q()
CASE9Q Case 9 with costs for reactive generation.
Please see CASEFORMAT for details on the case file format.
Identical to case9.m, with the addition of non-zero costs for
reactive power.
MATPOWER
case9target#
Python: pwrs.data.matpower.case9target()
CASE9TARGET Target injection power flow data for 9 bus, 3 generator case.
Please see CASEFORMAT for details on the case file format.
Modified version of case9.m used as target for example CPF.
MATPOWER
case_ACTIVSg10k#
Python: pwrs.data.matpower.case_ACTIVSg10k()
CASE_ACTIVSG10K Synthetic US WECC 10,000-bus power system model.
This is an entirely synthetic 10,000 bus case, geographically situated
in US portion of the WECC system. The case is designed with a 765, 500,
345, 230, 161, 138 and 115 kV transmission network to serve a load that
roughly mimics the actual population of its geographic footprint. The
synthetic transmission system was designed by algorithms described in
[1] to be statistically similar to actual transmission system models but
without modeling any actual lines.
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems,
vol. 32, no. 4, pp. 3258-3265, July 2017.
doi: 10.1109/TPWRS.2016.2616385
This is a synthetic power system model that does not represent the
actual grid. It was developed as part of the US ARPA-E GRID DATA
research project and contains no CEII.
One-line diagrams and other data formats available at:
https://electricgrids.engr.tamu.edu
October 27, 2017
Created from ACTIVSg10k.pwb, saved by
PowerWorld Simulator, version 20, build date October 19, 2017,
then by MATPOWER 6.
MATPOWER
Copyright (c) 2017 by A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case_ACTIVSg200#
Python: pwrs.data.matpower.case_ACTIVSg200()
CASE_ACTIVSG200 Synthetic Illinois 200-bus power system model.
This is an entirely synthetic 200 bus case, geographically situated
in the central part of the US state of Illinois. The case is
designed with a 230 and 115 kV transmission network to serve
a load that roughly mimics the actual population of its geographic
footprint. The synthetic transmission system was designed by
algorithms described in [1] to be statistically similar to actual
transmission system models but without modeling any actual lines.
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems,
vol. 32, no. 4, pp. 3258-3265, July 2017.
doi: 10.1109/TPWRS.2016.2616385
This is a synthetic power system model that does not represent the
actual grid. It was developed as part of the US ARPA-E GRID DATA
research project and contains no CEII.
One-line diagrams and other data formats available at:
https://electricgrids.engr.tamu.edu
May 16, 2017
Created from ACTIV_SG_200.pwb, saved by
PowerWorld Simulator, version 20 Beta, build date May 19, 2017,
then by MATPOWER 6.
MATPOWER
Copyright (c) 2017 by A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case_ACTIVSg2000#
Python: pwrs.data.matpower.case_ACTIVSg2000()
CASE_ACTIVSG2000 Synthetic Texas 2000-bus power system model.
This is an entirely synthetic 2000 bus case, geographically situated
in the US state of Texas. The case is designed with a 500, 230, 161
and 115 kV transmission network to serve a load that roughly mimics
the actual population of its geographic footprint. The synthetic
transmission system was designed by algorithms described in [1] to be
statistically similar to actual transmission system models but without
modeling any actual lines.
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems,
vol. 32, no. 4, pp. 3258-3265, July 2017.
doi: 10.1109/TPWRS.2016.2616385
This is a synthetic power system model that does not represent the
actual grid. It was developed as part of the US ARPA-E GRID DATA
research project and contains no CEII.
One-line diagrams and other data formats available at:
https://electricgrids.engr.tamu.edu
August 9, 2018
Created from ACTIVSg2000_AUG-09-2018.pwb, saved by
PowerWorld Simulator, version 21, build date August 30, 2018,
then by MATPOWER 6.
MATPOWER
Copyright (c) 2017-2018 by A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case_ACTIVSg25k#
Python: pwrs.data.matpower.case_ACTIVSg25k()
CASE_ACTIVSG25K Synthetic US NE/Mid-Atlantic 25,000-bus power system model.
This is an entirely synthetic 25,000 bus case, geographically situated
in US Northeast and Mid-Atlantic regions. The case is designed with a 765,
500, 345, 230, 161, 138, 115, 100 and 69 kV transmission network to serve
a load that roughly mimics the actual population of its geographic
footprint. The synthetic transmission system was designed by algorithms
described in [1] to be statistically similar to actual transmission
system models but without modeling any actual lines.
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems,
vol. 32, no. 4, pp. 3258-3265, July 2017.
doi: 10.1109/TPWRS.2016.2616385
This is a synthetic power system model that does not represent the
actual grid. It was developed as part of the US ARPA-E GRID DATA
research project and contains no CEII.
One-line diagrams and other data formats available at:
https://electricgrids.engr.tamu.edu
February 14, 2018
Created from ACTIVSg25k.pwb, saved by
PowerWorld Simulator, version 20, build date January 28, 2018,
then by MATPOWER 6.
MATPOWER
Copyright (c) 2017-2018 by A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case_ACTIVSg500#
Python: pwrs.data.matpower.case_ACTIVSg500()
CASE_ACTIVSG500 Synthetic South Carolina 500-bus power system model.
This is an entirely synthetic 500 bus case, geographically situated
in the northwestern part of the US state of South Carolina. The case is
designed with a 345 and 138 kV transmission network to serve
a load that roughly mimics the actual population of its geographic
footprint. The synthetic transmission system was designed by
algorithms described in [1] to be statistically similar to actual
transmission system models but without modeling any actual lines.
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems,
vol. 32, no. 4, pp. 3258-3265, July 2017.
doi: 10.1109/TPWRS.2016.2616385
This is a synthetic power system model that does not represent the
actual grid. It was developed as part of the US ARPA-E GRID DATA
research project and contains no CEII.
One-line diagrams and other data formats available at:
https://electricgrids.engr.tamu.edu
May 16, 2017
Created from ACTIV_SG_500.pwb, saved by
PowerWorld Simulator, version 20 Beta, build date May 19, 2017,
then by MATPOWER 6.
MATPOWER
Copyright (c) 2017 by A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case_ACTIVSg70k#
Python: pwrs.data.matpower.case_ACTIVSg70k()
CASE_ACTIVSG70K Synthetic Eastern US 70,000-bus power system model.
This is an entirely synthetic 70,000 bus case, geographically situated
in the Eastern US. The case is designed with a 765, 500, 345, 230, 161,
138, 115, 100 and 69 kV transmission network to serve a load that
roughly mimics the actual population of its geographic footprint. The
synthetic transmission system was designed by algorithms described in
[1] to be statistically similar to actual transmission system models
but without modeling any actual lines.
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems,
vol. 32, no. 4, pp. 3258-3265, July 2017.
doi: 10.1109/TPWRS.2016.2616385
[2] A.B. Birchfield, T. Xu, and T.J. Overbye, "Power Flow Convergence
and Reactive Power Planning in the Creation of Large Synthetic Grids,"
IEEE Transactions on Power Systems, 2018.
doi: 10.1109/TPWRS.2018.2813525
This is a synthetic power system model that does not represent the
actual grid. It was developed as part of the US ARPA-E GRID DATA
research project and contains no CEII.
One-line diagrams and other data formats available at:
https://electricgrids.engr.tamu.edu
May 31, 2018
Created from ACTIVSg70k_MAY-31-2018.pwb, saved by
PowerWorld Simulator, version 20, build date May 26, 2018,
then by MATPOWER 6.
MATPOWER
Copyright (c) 2018 by A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case_RTS_GMLC#
Python: pwrs.data.matpower.case_RTS_GMLC()
CASE_RTS_GMLC RTS-GMLC Test Case
Reliability Test System - Grid Modernization Lab Consortium
by Clayton Barrows, Ali Ehlen, Matt O Connell, Dheepak Krishnamurthy,
Brendan McBennett, and Aaron Bloom
National Renewable Energy Lab, Golden CO
Please see https://github.com/GridMod/RTS-GMLC for more details and/or
updated versions.
This version created via SAVECASE on Jan 10, 2019 from:
https://github.com/GridMod/RTS-GMLC/blob/master/RTS_Data/FormattedData/MATPOWER/RTS_GMLC.m
>> mpc = loadcase('RTS_GMLC');
>> mpc = toggle_dcline(mpc, 'on');
>> savecase('case_RTS_GMLC', mpc);
Manually added this help text and, in mpc.dcline data, manually deleted
output columns MU_PMIN-MU_QMAXT and changed values of 9999 to Inf (RDZ).
DATA USE DISCLAIMER AGREEMENT
("Agreement")
These data ("Data") are provided by the National Renewable Energy
Laboratory ("NREL"), which is operated by Alliance for Sustainable
Energy, LLC ("ALLIANCE") for the U.S. Department Of Energy ("DOE").
Access to and use of these Data shall impose the following obligations
on the user, as set forth in this Agreement. The user is granted the
right, without any fee or cost, to use, copy, and distribute these Data
for any purpose whatsoever, provided that this entire notice appears in
all copies of the Data. Further, the user agrees to credit
DOE/NREL/ALLIANCE in any publication that results from the use of these
Data. The names DOE/NREL/ALLIANCE, however, may not be used in any
advertising or publicity to endorse or promote any products or
commercial entities unless specific written permission is obtained from
DOE/NREL/ ALLIANCE. The user also understands that DOE/NREL/Alliance is
not obligated to provide the user with any support, consulting, training
or assistance of any kind with regard to the use of these Data or to
provide the user with any updates, revisions or new versions of these
Data.
**YOU AGREE TO INDEMNIFY DOE/NREL/ALLIANCE, AND ITS SUBSIDIARIES,
AFFILIATES, OFFICERS, AGENTS, AND EMPLOYEES AGAINST ANY CLAIM OR DEMAND,
INCLUDING REASONABLE ATTORNEYS' FEES, RELATED TO YOUR USE OF THESE DATA.
THESE DATA ARE PROVIDED BY DOE/NREL/Alliance "AS IS" AND ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
IN NO EVENT SHALL DOE/NREL/ALLIANCE BE LIABLE FOR ANY SPECIAL, INDIRECT
OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT
LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY
RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM
THAT ARISES OUT OF OR IN**
case_SyntheticUSA#
Python: pwrs.data.matpower.case_SyntheticUSA()
CASE_SYNTHETICUSA Synthetic US 82,000-bus power system model.
This is an entirely synthetic 82,000 bus case, geographically covering
the continental US. It was created by combining case_ACTIVSg70k (eastern
US), case_ACTIVSg10k (western US) and case_ACTIVSg2k (Texas), connecting
the 3 interconnections with nine DC lines. The load in the network
roughly mimics the actual population of its geographic footprint. The
synthetic transmission system was designed by algorithms described in
[1] to be statistically similar to actual transmission system models
but without modeling any actual lines.
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems,
vol. 32, no. 4, pp. 3258-3265, July 2017.
doi: 10.1109/TPWRS.2016.2616385
[2] A.B. Birchfield, T. Xu, and T.J. Overbye, "Power Flow Convergence
and Reactive Power Planning in the Creation of Large Synthetic Grids,"
IEEE Transactions on Power Systems, 2018.
doi: 10.1109/TPWRS.2018.2813525
This is a synthetic power system model that does not represent the
actual grid. It was developed as part of the US ARPA-E GRID DATA
research project and contains no CEII.
One-line diagrams and other data formats available at:
https://electricgrids.engr.tamu.edu
May 31, 2018
Created from SyntheticUSA.pwb, saved by
PowerWorld Simulator, version 20, build date May 31, 2018,
then by MATPOWER 6.
MATPOWER
Copyright (c) 2018 by A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
https://creativecommons.org/licenses/by/4.0/
case_ieee30#
Python: pwrs.data.matpower.case_ieee30()
CASE_IEEE30 Power flow data for IEEE 30 bus test case.
Please see CASEFORMAT for details on the case file format.
This data was converted from IEEE Common Data Format
(ieee30cdf.txt) on 15-Oct-2014 by cdf2matp, rev. 2393
See end of file for warnings generated during conversion.
Converted from IEEE CDF file from:
https://labs.ece.uw.edu/pstca/
08/20/93 UW ARCHIVE 100.0 1961 W IEEE 30 Bus Test Case
Modifications:
v2 - 2025-06-14 (WGV)
- Set tap parameter of branches # 13, 14, and 16 to 1.0 to model
transformers with nominal turns ratio. This configuration
benefits the convert_1p_to_3p function.
PGLib-OPF#
pglib_opf_case10000_goc#
Python: pwrs.data.pglibopf.pglib_opf_case10000_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 10,000 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems, 2017.
February, 2020
Copyright (c) 2020 by A.B. Birchfield, H. Li, J. Wert, J. Yeo, T. Xu,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
14,130 generated data and conversion-log comment lines are omitted.
pglib_opf_case10192_epigrids#
Python: pwrs.data.pglibopf.pglib_opf_case10192_epigrids()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic power system network model that covers the geographic
footprint of three midwest states (Michigan, Ohio and Indiana). The case is
designed with a 765, 345, 138 and 69 kV transmission network to serve a
load that roughly mimics the actual population of its geographic footprint.
The synthetic transmission system was designed by algorithms described in
[1] to be statistically similar to actual transmission system models but
without modeling any actual lines.
One-line diagrams and other data formats available at:
https://github.com/WISPO-POP/SyntheticElectricNetworkModels
https://electricgrids.engr.tamu.edu
This synthetic dateset was developed as part of the ARPA-E GRID DATA
program as part of the EPIGRIDS project.
When publishing results based on this data, please cite:
[1] J. M. Snodgrass, "Tractable Algorithms for Constructing Electric Power Network Models,"
Ph.D. Thesis, The University of Wisconsin - Madison, 2021.
Copyright (c) 2022 by J. Snodgrass, S. Greene, B. Lesieutre, C. DeMarco
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
11,656 generated data and conversion-log comment lines are omitted.
pglib_opf_case10480_goc#
Python: pwrs.data.pglibopf.pglib_opf_case10480_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 10,480 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Copyright (c) 2020 University of Wisconsin-Madison
https://dev.epigrids.discovery.wisc.edu/
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
12,063 generated data and conversion-log comment lines are omitted.
pglib_opf_case118_ieee#
Python: pwrs.data.pglibopf.pglib_opf_case118_ieee()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for IEEE 118 bus test case.
Please see CASEFORMAT for details on the case file format.
(ieee118cdf.txt) on 20-Sep-2004 by cdf2matp, rev. 1.11
Converted from IEEE CDF file from:
http://www.ee.washington.edu/research/pstca/
With base_kV data take from the PSAP format file from the same site,
added manually on 10-Mar-2006.
Copyright (c) 1999 by Richard D. Christie, University of Washington
Electrical Engineering Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
CDF Header:
08/25/93 UW ARCHIVE 100.0 1961 W IEEE 118 Bus Test Case
733 generated data and conversion-log comment lines are omitted.
pglib_opf_case1354_pegase#
Python: pwrs.data.pglibopf.pglib_opf_case1354_pegase()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE1354PEGASE Power flow data for medium part of European system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of part of the
European high voltage transmission network. The network contains 1,354
buses, 260 generators, and 1,991 branches and it operates at 380 and
220 kV. Please note that the data are fictitious and do not correspond
to real world data. They can thus be used to validate methods and tools
but should not be used for operation and planning of the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (http://www.fp7-pegase.com/). When publishing results
based on this data, please cite:
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
http://dx.doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are 100 MVA (at 1 p.u. voltage) lower than the
current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 18th, 2015
Copyright (c) 2015 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
4,689 generated data and conversion-log comment lines are omitted.
pglib_opf_case13659_pegase#
Python: pwrs.data.pglibopf.pglib_opf_case13659_pegase()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE13659PEGASE Power flow data for European system with step-up transformers.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of the European
high voltage transmission network. The network contains 13,659 buses,
4,092 generators, and 20,467 branches and it operates at 750, 400, 380,
330, 220, 154, 150, 120, and 110 kV. Low voltage buses ranging from
27,000 to 400 V are used to model step-up transformers which connect
generators to the high-voltage network. Please note that the data are
fictitious and do not correspond to real world data. They can thus be
used to validate methods and tools but should not be used for operation
and planning of the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (http://www.fp7-pegase.com/). When publishing results
based on this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici,
"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
http://arxiv.org/abs/1603.01533
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
http://dx.doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are the current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Cedric Josz, Jean Maeght, Stephane Fliscounakis, and Patrick Panciatici
firstname.lastname@rte-france.com
Reseau de Transport d'Electricite (French Transmission System Operator)
Departement Expertise Systeme, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
Copyright (c) 2016 by Cedric Josz, Jean Maeght, Stephane Fliscounakis,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
55,587 generated data and conversion-log comment lines are omitted.
pglib_opf_case14_ieee#
Python: pwrs.data.pglibopf.pglib_opf_case14_ieee()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for IEEE 14 bus test case.
This data was converted from IEEE Common Data Format
(ieee14cdf.txt) on 20-Sep-2004 by cdf2matp, rev. 1.11
Converted from IEEE CDF file from:
http://www.ee.washington.edu/research/pstca/
Copyright (c) 1999 by Richard D. Christie, University of Washington
Electrical Engineering Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
CDF Header:
08/19/93 UW ARCHIVE 100.0 1962 W IEEE 14 Bus Test Case
141 generated data and conversion-log comment lines are omitted.
pglib_opf_case162_ieee_dtc#
Python: pwrs.data.pglibopf.pglib_opf_case162_ieee_dtc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for IEEE 17-Generator Dynamic Test Case.
This data was converted from IEEE Common Data Format
(dd17cdf.txt) on 11-Jul-2014 by cdf2matp, rev. 2327
See end of file for warnings generated during conversion.
Converted from IEEE CDF file from:
http://www.ee.washington.edu/research/pstca/
Copyright (c) 1999 by Richard D. Christie, University of Washington
Electrical Engineering Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
CDF Header:
01/02/90 IEEE WORKING GROUP 100.0 1990 S 17-GEN CASE
755 generated data and conversion-log comment lines are omitted.
pglib_opf_case179_goc#
Python: pwrs.data.pglibopf.pglib_opf_case179_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
A 179 bus model created for the APRA-e Grid Optimization Competition.
The model is loosely based on the Western Systems Coordinating Council
(WECC/WSCC) network and is discussed in the following report,
Electric Power Research Institute
"DC multi-infeed study. Final report"
EPRI-TR-104586, December 1994.
The original model is available at,
https://gocompetition.energy.gov/competition/beta?page=data
Accessed, July 2018
Provided in the public domain. January, 2018
674 generated data and conversion-log comment lines are omitted.
pglib_opf_case1803_snem#
Python: pwrs.data.pglibopf.pglib_opf_case1803_snem()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Optimal Power Flow data for the Synthetic National Electricity Market (SNEM)
Australia - Mainland subnetwork.
This dataset is derived by complementing and extending the S-NEM2300bus
benchmark data and software as part the following works:
- F. Arraño-Vargas and G. Konstantinou, "Modular Design and Real-Time
Simulators Toward Power System Digital Twins Implementation," in IEEE
Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3178713
- F. Arraño-Vargas and G. Konstantinou, "Synthetic Grid Modeling for
Real-Time Simulations," 2021 IEEE PES Innovative Smart Grid
Technologies - Asia (ISGT Asia), 2021,
doi: 10.1109/ISGTAsia49270.2021.9715654
A technical report about this dataset is available at:
https://arxiv.org/abs/2306.08176
Copyright (c) 2023 by Rahmat Heidari (rahmat.heidarihaei@csiro.au)
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
2,322 generated data and conversion-log comment lines are omitted.
pglib_opf_case1888_rte#
Python: pwrs.data.pglibopf.pglib_opf_case1888_rte()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE1888RTE
AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage transmission network.
Part of this data was sampled in the offline platform of iTesla.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results using this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici,
"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
http://arxiv.org/abs/1603.01533
Contacts (primary contact for this file : Jean Maeght):
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
Copyright (c) 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
6,049 generated data and conversion-log comment lines are omitted.
pglib_opf_case19402_goc#
Python: pwrs.data.pglibopf.pglib_opf_case19402_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 19,402 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Copyright (c) 2020 University of Wisconsin-Madison
https://dev.epigrids.discovery.wisc.edu/
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
21,369 generated data and conversion-log comment lines are omitted.
pglib_opf_case1951_rte#
Python: pwrs.data.pglibopf.pglib_opf_case1951_rte()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE1951RTE
AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage transmission network.
Part of this data was sampled in the offline platform of iTesla.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results using this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici,
"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
http://arxiv.org/abs/1603.01533
Contacts (primary contact for this file : Jean Maeght):
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
Copyright (c) 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
6,620 generated data and conversion-log comment lines are omitted.
pglib_opf_case197_snem#
Python: pwrs.data.pglibopf.pglib_opf_case197_snem()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Optimal Power Flow data for the Synthetic National Electricity Market (SNEM)
Australia - Tasmania subnetwork.
This dataset is derived by complementing and extending the S-NEM2300bus
benchmark data and software as part the following works:
- F. Arraño-Vargas and G. Konstantinou, "Modular Design and Real-Time
Simulators Toward Power System Digital Twins Implementation," in IEEE
Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3178713
- F. Arraño-Vargas and G. Konstantinou, "Synthetic Grid Modeling for
Real-Time Simulations," 2021 IEEE PES Innovative Smart Grid
Technologies - Asia (ISGT Asia), 2021,
doi: 10.1109/ISGTAsia49270.2021.9715654
A technical report about this dataset is available at:
https://arxiv.org/abs/2306.08176
Copyright (c) 2023 by Rahmat Heidari (rahmat.heidarihaei@csiro.au)
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
292 generated data and conversion-log comment lines are omitted.
pglib_opf_case2000_goc#
Python: pwrs.data.pglibopf.pglib_opf_case2000_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 2,000 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems, 2017.
February, 2020
Copyright (c) 2020 by A.B. Birchfield, H. Li, J. Wert, J. Yeo, T. Xu,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
2,647 generated data and conversion-log comment lines are omitted.
pglib_opf_case200_activ#
Python: pwrs.data.pglibopf.pglib_opf_case200_activ()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is an entirely synthetic 200 bus case, geographically situated
in the central part of the US state of Illinois. The case is
designed with a 230 and 115 kV transmission network to serve
a load that roughly mimics the actual population of its geographic
footprint. The synthetic transmission system was designed by
algorithms described in [1] to be statistically similar to actual
transmission system models but without modeling any actual lines.
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems, 2017.
This is a synthetic power system model that does not represent the
actual grid. It was developed as part of the US ARPA-E GRID DATA
research project and contains no CEII.
One-line diagrams and other data formats available at:
https://electricgrids.engr.tamu.edu
May 16, 2017
Created from ACTIV_SG_200.pwb, saved by
PowerWorld Simulator, version 20 Beta, build date May 19, 2017,
then by MATPOWER 6.
Copyright (c) 2017 by A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
557 generated data and conversion-log comment lines are omitted.
pglib_opf_case20758_epigrids#
Python: pwrs.data.pglibopf.pglib_opf_case20758_epigrids()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic power system network model that covers the geographic
footprint of the US Western Interconnect states (Washington, Oregon,
California, Nevada, Idaho, Montana, Wyoming, Utah, Colorado, Arizona and
New Mexico). The case is designed with a 500, 230, 138 and 69 kV
transmission network to serve a load that roughly mimics the actual
population of its geographic footprint. The synthetic transmission system
was designed by algorithms described in [1] to be statistically similar to
actual transmission system models but without modeling any actual lines.
One-line diagrams and other data formats available at:
https://github.com/WISPO-POP/SyntheticElectricNetworkModels
https://electricgrids.engr.tamu.edu
This synthetic dateset was developed as part of the ARPA-E GRID DATA
program as part of the EPIGRIDS project.
When publishing results based on this data, please cite:
[1] J. M. Snodgrass, "Tractable Algorithms for Constructing Electric Power Network Models,"
Ph.D. Thesis, The University of Wisconsin - Madison, 2021.
Copyright (c) 2022 by J. Snodgrass, S. Greene, B. Lesieutre, C. DeMarco
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
25,223 generated data and conversion-log comment lines are omitted.
pglib_opf_case2312_goc#
Python: pwrs.data.pglibopf.pglib_opf_case2312_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
A 2,312 bus model created by the Sustainable Data Evolution Technology (SDET)
tool for use in ARPA-e's Grid Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Developed by Renke Huang and Ahmad Tbaileh,
Pacific Northwest National Laboratory, U.S.A.
Provided in the public domain. February, 2020
3,007 generated data and conversion-log comment lines are omitted.
pglib_opf_case2383wp_k#
Python: pwrs.data.pglibopf.pglib_opf_case2383wp_k()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for Polish system - winter 1999-2000 peak.
This case represents the Polish 400, 220 and 110 kV networks during
winter 1999-2000 peak conditions. It is part of the 7500+ bus
Europen UCTE system. To decrease the number of buses, the tie lines
to foreign networks were replaced by artificial load or generator
buses (180-186). Multiple generators at a bus have been aggregated.
Generators that are not centrally dispatchable in the Polish energy
market are given a cost of zero.
Copyright (c) 2010 by Roman Korab <roman.korab@polsl.pl>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
3,069 generated data and conversion-log comment lines are omitted.
pglib_opf_case240_pserc#
Python: pwrs.data.pglibopf.pglib_opf_case240_pserc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This case was prepared as part of PSERC M-21, "Technical and Economic
Implications of Greenhouse Gas Regulation in a Transmission Constrained
Restructured Electricity Market", which is available at https://pserc.wisc.edu
This dataset only includes the network model, the original report has a
variety of additional data, which are discussed in the following technical
report,
Price, J. & Goodin, J.
"Reduced Network Modeling of WECC as a Market Design Prototype"
Power and Energy Society General Meeting
Detroit, MI, July, 2011
Copyright (c) 2011, Power Systems Engineering Research Center (PSERC)
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
1,772 generated data and conversion-log comment lines are omitted.
pglib_opf_case24464_goc#
Python: pwrs.data.pglibopf.pglib_opf_case24464_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 24,464 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Copyright (c) 2020 University of Wisconsin-Madison
https://dev.epigrids.discovery.wisc.edu/
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
27,676 generated data and conversion-log comment lines are omitted.
pglib_opf_case24_ieee_rts#
Python: pwrs.data.pglibopf.pglib_opf_case24_ieee_rts()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for the IEEE RELIABILITY TEST SYSTEM 1979.
IEEE Reliability Test System Task Force of the Applications of
Probability Methods Subcommittee, "IEEE reliability test system,"
IEEE Transactions on Power Apparatus and Systems, Vol. 98, No. 6,
Nov./Dec. 1979, pp. 2047-2054.
Cost data is from Web site run by Georgia Tech Power Systems Control
and Automation Laboratory:
http://pscal.ece.gatech.edu/testsys/index.html
Matpower case file data provided by Bruce Wollenberg.
Copyright (c) 1979 The Institute of Electrical and Electronics Engineers (IEEE)
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
Contact M.E. Brennan (me.brennan@ieee.org) for inquries on further reuse of
this dataset.
% area data
area refbus
115 generated data and conversion-log comment lines are omitted.
pglib_opf_case2736sp_k#
Python: pwrs.data.pglibopf.pglib_opf_case2736sp_k()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for Polish system - summer 2004 peak.
This case represents the Polish 400, 220 and 110 kV networks during
summer 2004 peak conditions. Multiple centrally dispatchable
generators at a bus have not been aggregated. Generators that are
not centrally dispatchable in the Polish energy market are given a
cost of zero.
Copyright (c) 2010 by Roman Korab <roman.korab@polsl.pl>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
3,451 generated data and conversion-log comment lines are omitted.
pglib_opf_case2737sop_k#
Python: pwrs.data.pglibopf.pglib_opf_case2737sop_k()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for Polish system - summer 2004 off-peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
summer 2004 off-peak conditions. Multiple centrally dispatchable
generators at a bus have not been aggregated. Generators that are
not centrally dispatchable in the Polish energy market are given a
cost of zero.
Copyright (c) 2010 by Roman Korab <roman.korab@polsl.pl>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
3,380 generated data and conversion-log comment lines are omitted.
pglib_opf_case2742_goc#
Python: pwrs.data.pglibopf.pglib_opf_case2742_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 2,742 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Copyright (c) 2020 University of Wisconsin-Madison
https://dev.epigrids.discovery.wisc.edu/
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
3,131 generated data and conversion-log comment lines are omitted.
pglib_opf_case2746wop_k#
Python: pwrs.data.pglibopf.pglib_opf_case2746wop_k()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for Polish system - winter 2003-04 off-peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
winter 2003-04 off-peak conditions. Multiple centrally dispatchable
generators at a bus have not been aggregated. Generators that are
not centrally dispatchable in the Polish energy market are given a
cost of zero.
Copyright (c) 2010 by Roman Korab <roman.korab@polsl.pl>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
3,716 generated data and conversion-log comment lines are omitted.
pglib_opf_case2746wp_k#
Python: pwrs.data.pglibopf.pglib_opf_case2746wp_k()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for Polish system - winter 2003-04 evening peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
winter 2003-04 evening peak conditions. Multiple centrally
dispatchable generators at a bus have not been aggregated.
Generators that are not centrally dispatchable in the Polish
energy market are given a cost of zero.
Copyright (c) 2010 by Roman Korab <roman.korab@polsl.pl>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
3,747 generated data and conversion-log comment lines are omitted.
pglib_opf_case2848_rte#
Python: pwrs.data.pglibopf.pglib_opf_case2848_rte()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE2848RTE
AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage transmission network.
Part of this data was sampled in the offline platform of iTesla.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results using this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici,
"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
http://arxiv.org/abs/1603.01533
Contacts (primary contact for this file : Jean Maeght):
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
Copyright (c) 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
10,521 generated data and conversion-log comment lines are omitted.
pglib_opf_case2853_sdet#
Python: pwrs.data.pglibopf.pglib_opf_case2853_sdet()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
A 2853 bus model created by the Sustainable Data Evolution Technology (SDET)
tool.
https://egriddata.org/group/sustainable-data-evolution-technology-sdet
Developed by Renke Huang,
Pacific Northwest National Laboratory, U.S.A.
Provided in the public domain. June, 2018
7,501 generated data and conversion-log comment lines are omitted.
pglib_opf_case2868_rte#
Python: pwrs.data.pglibopf.pglib_opf_case2868_rte()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE2868RTE
AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage transmission network.
Part of this data was sampled in the offline platform of iTesla.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results using this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici,
"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
http://arxiv.org/abs/1603.01533
Contacts (primary contact for this file : Jean Maeght):
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
Copyright (c) 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
10,804 generated data and conversion-log comment lines are omitted.
pglib_opf_case2869_pegase#
Python: pwrs.data.pglibopf.pglib_opf_case2869_pegase()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE2869PEGASE Power flow data for large part of European system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of part of the
European high voltage transmission network. The network contains 2,869
buses, 510 generators, and 4,582 branches and it operates at 380, 220,
150, and 110 kV. Please note that the data are fictitious and do not
correspond to real world data. They can thus be used to validate
methods and tools but should not be used for operation and planning of
the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (http://www.fp7-pegase.com/). When publishing results
based on this data, please cite:
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
http://dx.doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are the current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 18th, 2015
Copyright (c) 2015 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
10,074 generated data and conversion-log comment lines are omitted.
pglib_opf_case30000_goc#
Python: pwrs.data.pglibopf.pglib_opf_case30000_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 30,000 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems, 2017.
February, 2020
Copyright (c) 2020 by A.B. Birchfield, H. Li, J. Wert, J. Yeo, T. Xu,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
37,077 generated data and conversion-log comment lines are omitted.
pglib_opf_case300_ieee#
Python: pwrs.data.pglibopf.pglib_opf_case300_ieee()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for IEEE 300 bus test case.
This data was converted from IEEE Common Data Format
(ieee300cdf.txt) on 20-Sep-2004 by cdf2matp, rev. 1.11
Converted from IEEE CDF file from:
http://www.ee.washington.edu/research/pstca/
Copyright (c) 1999 by Richard D. Christie, University of Washington
Electrical Engineering Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
CDF Header:
13/05/91 CYME INTERNATIONAL 100.0 1991 S IEEE 300-BUS TEST SYSTEM
1,215 generated data and conversion-log comment lines are omitted.
pglib_opf_case3012wp_k#
Python: pwrs.data.pglibopf.pglib_opf_case3012wp_k()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for Polish system - winter 2007-08 evening peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
winter 2007-08 evening peak conditions.
Copyright (c) 2010 by Roman Korab <roman.korab@polsl.pl>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
6,228 generated data and conversion-log comment lines are omitted.
pglib_opf_case3022_goc#
Python: pwrs.data.pglibopf.pglib_opf_case3022_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
A 3,022 bus model created by the Sustainable Data Evolution Technology (SDET)
tool for use in ARPA-e's Grid Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Developed by Renke Huang and Ahmad Tbaileh,
Pacific Northwest National Laboratory, U.S.A.
Provided in the public domain. February, 2020
4,015 generated data and conversion-log comment lines are omitted.
pglib_opf_case30_as#
Python: pwrs.data.pglibopf.pglib_opf_case30_as()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for 30 bus, 6 generator case.
Alsac, O. & Stott, B., "Optimal Load Flow with Steady State Security",
IEEE Transactions on Power Apparatus and Systems, Vol. PAS 93, No. 3,
1974, pp. 745-751.
The generation MVA limit is used for Q upper bounds
Shunts assumed to be in real value (not p.u. as specified in the paper)
Copyright (c) 1974 by The Institute of Electrical and Electronics Engineers (IEEE)
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
Contact M.E. Brennan (me.brennan@ieee.org) for inquries on further reuse of
this dataset.
% area data
area refbus
67 generated data and conversion-log comment lines are omitted.
pglib_opf_case30_ieee#
Python: pwrs.data.pglibopf.pglib_opf_case30_ieee()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for IEEE 30 bus test case.
This data was converted from IEEE Common Data Format
(ieee30cdf.txt) on 20-Sep-2004 by cdf2matp, rev. 1.11
Converted from IEEE CDF file from:
http://www.ee.washington.edu/research/pstca/
Copyright (c) 1999 by Richard D. Christie, University of Washington
Electrical Engineering Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
CDF Header:
08/20/93 UW ARCHIVE 100.0 1961 W IEEE 30 Bus Test Case
162 generated data and conversion-log comment lines are omitted.
pglib_opf_case3120sp_k#
Python: pwrs.data.pglibopf.pglib_opf_case3120sp_k()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for Polish system - summer 2008 morning peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
summer 2008 morning peak conditions.
Copyright (c) 2010 by Roman Korab <roman.korab@polsl.pl>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
5,506 generated data and conversion-log comment lines are omitted.
pglib_opf_case3375wp_k#
Python: pwrs.data.pglibopf.pglib_opf_case3375wp_k()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for Polish system - winter 2007-08 evening peak.
Please see CASEFORMAT for details on the case file format.
This case represents the Polish 400, 220 and 110 kV networks during
winter 2007-08 evening peak conditions and includes some equivalents
of the German, Czech and Slovak networks.
Copyright (c) 2010 by Roman Korab <roman.korab@polsl.pl>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
9,387 generated data and conversion-log comment lines are omitted.
pglib_opf_case3970_goc#
Python: pwrs.data.pglibopf.pglib_opf_case3970_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 3,970 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Copyright (c) 2020 University of Wisconsin-Madison
https://dev.epigrids.discovery.wisc.edu/
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
4,761 generated data and conversion-log comment lines are omitted.
pglib_opf_case39_epri#
Python: pwrs.data.pglibopf.pglib_opf_case39_epri()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE39 Power flow data for 39 bus New England system.
Data taken from [1] with the following modifications/additions:
- renumbered gen buses consecutively (as in [2] and [4])
- added Pmin = 0 for all gens
- added Qmin, Qmax for gens at 31 & 39 (copied from gen at 35)
- added Vg based on V in bus data (missing for bus 39)
- added Vg, Pg, Pd, Qd at bus 39 from [2] (same in [4])
- added Pmax at bus 39: Pmax = Pg + 100
- added line flow limits and area data from [4]
- added voltage limits, Vmax = 1.06, Vmin = 0.94
- added identical quadratic generator costs
- increased Pmax for gen at bus 34 from 308 to 508
(assumed typo in [1], makes initial solved case feasible)
- re-solved power flow
Notes:
- Bus 39, its generator and 2 connecting lines were added
(by authors of [1]) to represent the interconnection with
the rest of the eastern interconnect, and did not include
Vg, Pg, Qg, Pd, Qd, Pmin, Pmax, Qmin or Qmax.
- As the swing bus, bus 31 did not include and Q limits.
- The voltages, etc in [1] appear to be quite close to the
power flow solution of the case before adding bus 39 with
it's generator and connecting branches, though the solution
is not exact.
- Explicit voltage setpoints for gen buses are not given, so
they are taken from the bus data, however this results in two
binding Q limits at buses 34 & 37, so the corresponding
voltages have probably deviated from their original setpoints.
- The generator locations and types are as follows:
1 30 hydro
2 31 nuke01
3 32 nuke02
4 33 fossil02
5 34 fossil01
6 35 nuke03
7 36 fossil04
8 37 nuke04
9 38 nuke05
10 39 interconnection to rest of US/Canada
This is a solved power flow case, but it includes the following
violations:
- Pmax violated at bus 31: Pg = 677.87, Pmax = 646
- Qmin violated at bus 37: Qg = -1.37, Qmin = 0
References:
[1] G. W. Bills, et.al., "On-Line Stability Analysis Study"
RP90-1 Report for the Edison Electric Institute, October 12, 1970,
pp. 1-20 - 1-35.
prepared by E. M. Gulachenski - New England Electric System
J. M. Undrill - General Electric Co.
"generally representative of the New England 345 KV system, but is
not an exact or complete model of any past, present or projected
configuration of the actual New England 345 KV system.
[2] M. A. Pai, Energy Function Analysis for Power System Stability,
Kluwer Academic Publishers, Boston, 1989.
(references [3] as source of data)
[3] Athay, T.; Podmore, R.; Virmani, S., "A Practical Method for the
Direct Analysis of Transient Stability," IEEE Transactions on Power
Apparatus and Systems , vol.PAS-98, no.2, pp.573-584, March 1979.
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4113518&isnumber=4113486
(references [1] as source of data)
[4] Data included with TC Calculator at http://www.pserc.cornell.edu/tcc/
for 39-bus system.
Copyright (c) 1989 by The Institute of Electrical and Electronics Engineers (IEEE)
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
Contact M.E. Brennan (me.brennan@ieee.org) for inquries on further reuse of
this dataset.
122 generated data and conversion-log comment lines are omitted.
pglib_opf_case3_lmbd#
Python: pwrs.data.pglibopf.pglib_opf_case3_lmbd()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
The semidefinite relaxation of the OPF problem successfully solves
this network with a value of 60 MVA for the line-flow limit on the line from
bus 2 to bus 3. The semidefinite relaxation fails to give a physically
meaningful solution to this network with a value of 50 MVA for the line-flow
limit on this line. See the following publication for further details.
Lesieutre, B.C. & Molzahn, D.K. & Borden, AR. & Demarco, C.L.,
"Examining the Limits of the Application of Semidefinite Programming to Power Flow Problems",
49th Annual Allerton Conference on Communication, Control, and Computing (Allerton),
September, 2011, pp. 1492-1499
opt objective value: 5812.64 $/hr
Bus Voltage Generation Load Lambda($/MVA-hr)
# Mag(pu) Ang(deg) P (MW) Q (MVAr) P (MW) Q (MVAr) P Q
----- ------- -------- -------- -------- -------- -------- ------- -------
1 1.100 0.000* 148.07 54.70 110.00 40.00 37.575 -
2 0.926 7.259 170.01 -8.79 110.00 40.00 30.101 -
3 0.900 -17.267 0.00 -4.84 95.00 50.00 45.537 -
-------- -------- -------- --------
Total: 318.07 41.06 315.00 130.00
Copyright (c) 2011 by The Institute of Electrical and Electronics Engineers (IEEE)
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
Contact M.E. Brennan (me.brennan@ieee.org) for inquries on further reuse of
this dataset.
37 generated data and conversion-log comment lines are omitted.
pglib_opf_case4020_goc#
Python: pwrs.data.pglibopf.pglib_opf_case4020_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
A 4,020 bus model created by the Sustainable Data Evolution Technology (SDET)
tool for use in ARPA-e's Grid Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Developed by Renke Huang and Ahmad Tbaileh,
Pacific Northwest National Laboratory, U.S.A.
Provided in the public domain. February, 2020
4,749 generated data and conversion-log comment lines are omitted.
pglib_opf_case4601_goc#
Python: pwrs.data.pglibopf.pglib_opf_case4601_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 4,601 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Copyright (c) 2020 University of Wisconsin-Madison
https://dev.epigrids.discovery.wisc.edu/
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
5,442 generated data and conversion-log comment lines are omitted.
pglib_opf_case4619_goc#
Python: pwrs.data.pglibopf.pglib_opf_case4619_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 4,619 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Copyright (c) 2020 University of Wisconsin-Madison
https://dev.epigrids.discovery.wisc.edu/
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
5,338 generated data and conversion-log comment lines are omitted.
pglib_opf_case4661_sdet#
Python: pwrs.data.pglibopf.pglib_opf_case4661_sdet()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
A 4661 bus model created by the Sustainable Data Evolution Technology (SDET)
tool.
https://egriddata.org/group/sustainable-data-evolution-technology-sdet
Developed by Renke Huang,
Pacific Northwest National Laboratory, U.S.A.
Provided in the public domain. May, 2018
10,432 generated data and conversion-log comment lines are omitted.
pglib_opf_case4837_goc#
Python: pwrs.data.pglibopf.pglib_opf_case4837_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 4,837 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Copyright (c) 2020 University of Wisconsin-Madison
https://dev.epigrids.discovery.wisc.edu/
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
5,531 generated data and conversion-log comment lines are omitted.
pglib_opf_case4917_goc#
Python: pwrs.data.pglibopf.pglib_opf_case4917_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
A 4,917 bus model created by the Sustainable Data Evolution Technology (SDET)
tool for use in ARPA-e's Grid Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Developed by Renke Huang and Ahmad Tbaileh,
Pacific Northwest National Laboratory, U.S.A.
Provided in the public domain. February, 2020
6,862 generated data and conversion-log comment lines are omitted.
pglib_opf_case500_goc#
Python: pwrs.data.pglibopf.pglib_opf_case500_goc()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic 500 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
When publishing results based on this data, please cite:
[1] A.B. Birchfield, T. Xu, K.M. Gegner, K.S. Shetye, T.J. Overbye,
"Grid Structural Characteristics as Validation Criteria for
Synthetic Networks," IEEE Transactions on Power Systems, 2017.
February, 2020
Copyright (c) 2020 by A.B. Birchfield, H. Li, J. Wert, J. Yeo, T. Xu,
and T.J. Overbye
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
920 generated data and conversion-log comment lines are omitted.
pglib_opf_case5658_epigrids#
Python: pwrs.data.pglibopf.pglib_opf_case5658_epigrids()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a synthetic electric grid model that covers the geographic
footprint of the state of Florida. The case is designed with a 500, 230,
138 and 69 kV transmission network to serve a load that roughly mimics the
actual population of its geographic footprint. The synthetic transmission
system was designed by algorithms described in [1] to be statistically
similar to actual transmission system models but without modeling any
actual lines.
One-line diagrams and other data formats available at:
https://github.com/WISPO-POP/SyntheticElectricNetworkModels
https://electricgrids.engr.tamu.edu
This synthetic dateset was developed as part of the ARPA-E GRID DATA
program as part of the EPIGRIDS project.
When publishing results based on this data, please cite:
[1] J. M. Snodgrass, "Tractable Algorithms for Constructing Electric Power Network Models,"
Ph.D. Thesis, The University of Wisconsin - Madison, 2021.
Copyright (c) 2022 by J. Snodgrass, S. Greene, B. Lesieutre, C. DeMarco
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
8,062 generated data and conversion-log comment lines are omitted.
pglib_opf_case57_ieee#
Python: pwrs.data.pglibopf.pglib_opf_case57_ieee()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Power flow data for IEEE 57 bus test case.
This data was converted from IEEE Common Data Format
(ieee57cdf.txt) on 20-Sep-2004 by cdf2matp, rev. 1.11
Converted from IEEE CDF file from:
http://www.ee.washington.edu/research/pstca/
Manually modified Qmax, Qmin on generator 1 to 200, -140, respectively.
Copyright (c) 1999 by Richard D. Christie, University of Washington
Electrical Engineering Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
CDF Header:
08/25/93 UW ARCHIVE 100.0 1961 W IEEE 57 Bus Test Case
361 generated data and conversion-log comment lines are omitted.
pglib_opf_case588_sdet#
Python: pwrs.data.pglibopf.pglib_opf_case588_sdet()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
A 500 bus model created by the Sustainable Data Evolution Technology (SDET)
tool.
https://egriddata.org/group/sustainable-data-evolution-technology-sdet
Developed by Ruisheng Diao
Provided in the public domain. March, 2018
1,417 generated data and conversion-log comment lines are omitted.
pglib_opf_case5_pjm#
Python: pwrs.data.pglibopf.pglib_opf_case5_pjm()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE5 Power flow data for modified 5 bus, 5 gen case based on PJM 5-bus system
Please see CASEFORMAT for details on the case file format.
Based on data from ...
F.Li and R.Bo, "Small Test Systems for Power System Economic Studies",
Proceedings of the 2010 IEEE Power & Energy Society General Meeting
Created by Rui Bo in 2006, modified in 2010, 2014.
Copyright (c) 2010 by The Institute of Electrical and Electronics Engineers (IEEE)
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
Contact M.E. Brennan (me.brennan@ieee.org) for inquries on further reuse of
this dataset.
% area data
area refbus
48 generated data and conversion-log comment lines are omitted.
pglib_opf_case60_c#
Python: pwrs.data.pglibopf.pglib_opf_case60_c()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This network data stems from the Nordic32 test system initially developed
by CIGRE Task Force 38.02.08, “Long-term dynamics, phase II” in 1995. These
data were further enriched by the research group of Thierry Van Cutsem and
then by Florin Capitanescu to include: (i) OPF-related data (physical
limits, cost functions); (ii) definition of various AC-OPF/SCOPF problems;
and (iii) data conversion from initial format into the MATPOWER (.m)
format. Note that AC-OPF formulations of this dataset have traditionally
modeled thermal limits in terms of current but this version of the dataset
uses MVA limits.
This power system model contains 60 buses, 23 generators, 57 lines,
31 transformers (out of which 8 OLTCs, the last 8 branch records),
22 loads, and 12 shunt elements.
Historically, this data has been used to solve various instances of
AC-OPF/SCOPF problems with different objective functions, sets of decision
variables including, generators active/reactive powers, ratio of LTC
transformers, reactance of shunt capacitors/reactors) and constraints. Some
of the OPF results can be found at:
https://people.montefiore.uliege.be/capitane
Researchers looking to include control variables like transformer tap ratio
and shunt reactance or N-1 contingencies can contact Florin Capitanescu for
the associated data.
When publishing results based on this data a suitable reference is:
[1] F. Capitanescu, "Suppressing ineffective control actions in optimal
power flow problems", IET Generation, Transmission & Distribution, 2020.
February, 2021
Copyright (c) 2021 by Florin Capitanescu <fcapitanescu@yahoo.com>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
131 generated data and conversion-log comment lines are omitted.
pglib_opf_case6468_rte#
Python: pwrs.data.pglibopf.pglib_opf_case6468_rte()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE6468RTE
AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage and high voltage transmission network.
These data are snapshots of French VHV+HV grid in 2013.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results using this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici,
"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
http://arxiv.org/abs/1603.01533
Contacts (primary contact for this file : Jean Maeght):
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
Copyright (c) 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
27,031 generated data and conversion-log comment lines are omitted.
pglib_opf_case6470_rte#
Python: pwrs.data.pglibopf.pglib_opf_case6470_rte()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE6470RTE
AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage and high voltage transmission network.
These data are snapshots of French VHV+HV grid in 2013.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results using this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici,
"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
http://arxiv.org/abs/1603.01533
Contacts (primary contact for this file : Jean Maeght):
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
Copyright (c) 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
26,980 generated data and conversion-log comment lines are omitted.
pglib_opf_case6495_rte#
Python: pwrs.data.pglibopf.pglib_opf_case6495_rte()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE6495RTE
AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage and high voltage transmission network.
These data are snapshots of French VHV+HV grid in 2013.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results using this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici,
"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
http://arxiv.org/abs/1603.01533
Contacts (primary contact for this file : Jean Maeght):
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
Copyright (c) 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
27,095 generated data and conversion-log comment lines are omitted.
pglib_opf_case6515_rte#
Python: pwrs.data.pglibopf.pglib_opf_case6515_rte()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% %%%%%
%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
%%% %%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
CASE6515RTE
AC Power flow data for French system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of French
very high voltage and high voltage transmission network.
These data are snapshots of French VHV+HV grid in 2013.
These data can be used to validate mathematical methods and tools.
These data should NOT be used for operation
nor planning of the French or European grids.
When publishing results using this data, please cite:
C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici,
"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE"
http://arxiv.org/abs/1603.01533
Contacts (primary contact for this file : Jean Maeght):
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 4th, 2016
Copyright (c) 2016 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
27,185 generated data and conversion-log comment lines are omitted.
pglib_opf_case7336_epigrids#
Python: pwrs.data.pglibopf.pglib_opf_case7336_epigrids()
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%%% %%%%%
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This is a synthetic power system network model that covers the geographic
footprint of the state of Texas. The case is designed with a 345, 230, 138
and 69 kV transmission network to serve a load that roughly mimics the
actual population of its geographic footprint. The synthetic transmission
system was designed by algorithms described in [1] to be statistically
similar to actual transmission system models but without modeling any
actual lines.
One-line diagrams and other data formats available at:
https://github.com/WISPO-POP/SyntheticElectricNetworkModels
https://electricgrids.engr.tamu.edu
This synthetic dateset was developed as part of the ARPA-E GRID DATA
program as part of the EPIGRIDS project.
When publishing results based on this data, please cite:
[1] J. M. Snodgrass, "Tractable Algorithms for Constructing Electric Power Network Models,"
Ph.D. Thesis, The University of Wisconsin - Madison, 2021.
Copyright (c) 2022 by J. Snodgrass, S. Greene, B. Lesieutre, C. DeMarco
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
10,799 generated data and conversion-log comment lines are omitted.
pglib_opf_case73_ieee_rts#
Python: pwrs.data.pglibopf.pglib_opf_case73_ieee_rts()
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%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
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Power flow data for the IEEE RELIABILITY TEST SYSTEM 1996.
IEEE Reliability Test System Task Force of Applications of
Probability Methods Subcommittee, "IEEE reliability test system-96,"
IEEE Transactions on Power Systems, Vol. 14, No. 3, Aug. 1999,
pp. 1010-1020.
See also (this network is three replicates of the RTS-79 system):
IEEE Reliability Test System Task Force of the Applications of
Probability Methods Subcommittee, "IEEE reliability test system,"
IEEE Transactions on Power Apparatus and Systems, Vol. 98, No. 6,
Nov./Dec. 1979, pp. 2047-2054.
Cost data is from Web site run by Georgia Tech Power Systems Control
and Automation Laboratory:
http://pscal.ece.gatech.edu/testsys/index.html
Converted from data files on:
http://www.ee.washington.edu/research/pstca/rts/pg_tcarts.htm
Does not include optional DC link
Bus voltage bounds from Matpower standard +/- 6% off nominal
Reactive compensation at buses 106, 206, 306 is essential for feasibility due to
line charging on branch 6-10. A shunt of 100 MVar is indicated in the RTS-79 paper.
Matpower case file data provided by Clayton Barrows, Carleton Coffrin,
and NICTA's Optisation Research Group.
Copyright (c) 1999 The Institute of Electrical and Electronics Engineers (IEEE)
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
Contact M.E. Brennan (me.brennan@ieee.org) for inquries on further reuse of
this dataset.
% area data
area refbus
296 generated data and conversion-log comment lines are omitted.
pglib_opf_case78484_epigrids#
Python: pwrs.data.pglibopf.pglib_opf_case78484_epigrids()
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%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
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This is an entirely synthetic power system network model that covers the
geographic footprint of the US Eastern Interconnection states (Arkansas,
Louisiana, Missouri, Connecticut, Maine, Massachusetts, New Hampshire,
Rhode Island, Vermont, Alabama, Kentucky, Mississippi, Tennessee, New York,
New Jersey, Pennsylvania, Washington DC, Delaware, Maryland, North Carolina,
Virginia, West Virginia, Illinois, Iowa, Minnesota, Wisconsin, Indiana,
Michigan, Ohio, Florida, Georgia, South Carolina, Kansas, Nebraska,
North Dakota, Oklahoma, South Dakota and Texas). The full geographic area
of each state is included in this model, resulting in the State of Texas
being fully modeled as part of the Eastern Grid Model. The case is designed
with a 765, 500, 345, 230, 138 and 69 kV transmission network to serve a
load that roughly mimics the actual population of its geographic footprint.
The synthetic transmission system was designed by algorithms described in
[1] to be statistically similar to actual transmission system models but
without modeling any actual lines.
One-line diagrams and other data formats available at:
https://github.com/WISPO-POP/SyntheticElectricNetworkModels
https://electricgrids.engr.tamu.edu
This synthetic dateset was developed as part of the ARPA-E GRID DATA
program as part of the EPIGRIDS project.
When publishing results based on this data, please cite:
[1] J. M. Snodgrass, "Tractable Algorithms for Constructing Electric Power Network Models,"
Ph.D. Thesis, The University of Wisconsin - Madison, 2021.
Copyright (c) 2022 by J. Snodgrass, S. Greene, B. Lesieutre, C. DeMarco
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
112,794 generated data and conversion-log comment lines are omitted.
pglib_opf_case793_goc#
Python: pwrs.data.pglibopf.pglib_opf_case793_goc()
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%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
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A 793 bus model created by the Sustainable Data Evolution Technology (SDET)
tool for use in ARPA-e's Grid Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Developed by Renke Huang and Ahmad Tbaileh,
Pacific Northwest National Laboratory, U.S.A.
Provided in the public domain. February, 2020
1,261 generated data and conversion-log comment lines are omitted.
pglib_opf_case8387_pegase#
Python: pwrs.data.pglibopf.pglib_opf_case8387_pegase()
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%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
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%%% 23 - July - 2023 %%%%%
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This network data stems from the Pan European Grid Advanced Simulation and
State Estimation (PEGASE) project, funded by the European Union
(http://www.fp7-pegase.com/). The data is derived from the original data
[1] provided to Florin Capitanescu in 2013 under request by the data owners
in PEGASE project. Revisions to the original raw include: (i) removing data
related to a specific transmission system operator, which were replaced by
equivalent loads at the end of the three interconnection lines; (ii) some
asymmetrical PI branch models were approximated as symmetrical, averaging
parameters values; (iii) modeling simplifications concerning the
transformer transversal sustenance; (iv) data anonymization; (v) data
conversion from Eurostag (.ech) format in to the MATPOWER (.m) format; and
(vi) definition of various AC-OPF problems (see [2] below). Note that
AC-OPF formulations of this dataset have traditionally modeled thermal
limits in terms of current but this version of the dataset uses MVA limits.
This power system model contains 8,387 buses, 1,865 generators, 4,669 loads,
12,474 lines, 2,087 transformers (out of which 589 OLTC and 84 phases
shifters) and 178 shunt capacitors/reactors. Also, 1,299 lines and 529
transformers (out of which 17 phase shifters) have more than one circuit in
parallel. The system models 8 voltage levels: 750, 400, 380, 330, 220, 150,
120, and 110 kV. This data is a reasonable representation of the size and
complexity of the European transmission system. However, the data is
fictitious and includes purposeful modifications of the real-world data.
Thus, this data can be used for test methods and algorithms, but should not
be used to make claims regarding the operation or planning of the European
power system.
This specific network data is publicly released for the purpose of testing
methods and algorithms on challenging optimization problems and more
comprehensive in terms of grid models and versatile AC OPF formulations
(see details in [2], where two solvers in MATPOWER version 4.1 failed to
converge on two instances and Florin Capitanescu's AC-OPF solver failed to
converge on another instance). For example, [2] presented results for 16
variants of AC-OPF problems with different objective functions, sets of
decision variables (e.g. among: generators active/reactive powers, ratio of
LTC transformers, reactance of shunt capacitors/reactors, and angle of
phase shifter transformers) and constraints. Researchers seeking to include
control variables like transformer tap ratio, phase shifter angle and shunt
reactance can contact Florin Capitanescu for the associated data.
Besides this test case, all AC OPF instances presented in [2] can be easily
obtained using one or some combinations of following features:
- Setting the angle of all 84 phase shifters to 0.0.
- Using identical unity costs (c=1.0) for all generators to minimize the
sum of generators active powers (an unconventional loss minimization via
also active power re-dispatch) as an OPF objective function.
- Using a quadratic OPF objective function that minimizes the sum of
squares of each generator's active power deviation with respect to the
initial value Pgi^0 (provided in the data set), i.e. (Pgi-Pgi^0)^2. Thus,
the coefficients of these fictitious cost function in p.u. (100MVA base)
are, (0.01*Pgi^0)^2 - 2*0.01*Pgi^0 + 0.0001*Pgi^0.
- The thermal limit of line between nodes 746 and 5968 and can be decreased
on purpose from 2061 MVA to 1000 MVA to create congestion (around 20%
current overload) and a tough OPF problem, see [2].
If one faces convergence issues with your an NLP solver, the following
simplifications are suggested:
- Generators with small active power range (<=20MW) are not taken as
control variable, their active power is fixed to the initial value.
- Generators with small reactive power range (<=10MVAr) are not taken as
control variable, their reactive power is fixed to the initial value.
- The reactance of 98 short lines could be raised to the minimum threshold
value of 0.0002 pu.
- The relative convergence tolerance of the NLP solver can be increased to
10^-5 on primal and dual feasibility.
When publishing results based on this data, please cite:
[1] F. Villella, S. Leclerc, I. Erlich, S. Rapoport, "PEGASE pan-European
test-beds for testing of algorithms on very large scale power systems".
IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2012.
[2] F. Capitanescu, L. Wehenkel, "Experiments with the interior-point
method for solving large scale optimal power flow problems", Electric
Power Systems Research, 2013.
February, 2021
Copyright (c) 2021 by Florin Capitanescu <fcapitanescu@yahoo.com>
Licensed under the Creative Commons Attribution 4.0
International license, http://creativecommons.org/licenses/by/4.0/
14,052 generated data and conversion-log comment lines are omitted.
pglib_opf_case89_pegase#
Python: pwrs.data.pglibopf.pglib_opf_case89_pegase()
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CASE89PEGASE Power flow data for small part of European system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of part of the
European high voltage transmission network. The network contains 89
buses, 12 generators, and 210 branches and it operates at 380, 220, and
150 kV. Please note that the data are fictitious and do not correspond
to real world data. They can thus be used to validate methods and tools
but should not be used for operation and planning of the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (http://www.fp7-pegase.com/). When publishing results
based on this data, please cite:
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
http://dx.doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are 20 MVA (at 1 p.u. voltage) greater than the
current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 18th, 2015
Copyright (c) 2015 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
414 generated data and conversion-log comment lines are omitted.
pglib_opf_case9241_pegase#
Python: pwrs.data.pglibopf.pglib_opf_case9241_pegase()
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%%% IEEE PES Power Grid Library - Optimal Power Flow - v23.07 %%%%%
%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
%%% 23 - July - 2023 %%%%%
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CASE9241PEGASE Power flow data for European system.
Please see CASEFORMAT for details on the case file format.
This case accurately represents the size and complexity of the European
high voltage transmission network. The network contains 9,241 buses,
1,445 generators, and 16,049 branches and it operates at 750, 400, 380,
330, 220, 154, 150, 120, and 110 kV. Please note that the data are
fictitious and do not correspond to real world data. They can thus be
used to validate methods and tools but should not be used for operation
and planning of the European grid.
The data stems from the Pan European Grid Advanced Simulation and State
Estimation (PEGASE) project, part of the 7th Framework Program of the
European Union (http://www.fp7-pegase.com/). When publishing results
based on this data, please cite:
S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel,
"Contingency ranking with respect to overloads in very large power
systems taking into account uncertainty, preventive and corrective
actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013.
http://dx.doi.org/10.1109/TPWRS.2013.2251015
Remarks:
1. Line flow limits are the current flow limits found in PEGASE data.
2. PEGASE data contains asymmetric shunt conductance and susceptance in
the PI transmission line model of branches. Thus total line charging
susceptance of branches is set to 0 p.u. and the nodal representation
of shunt condutance and susceptance is used. As a result, power flow
equations are left unchanged compared with original PEGASE data.
However, line flow constraints in the optimal flow problem are
modified.
3. Identical linear costs are used for all generators to form a loss
minimizing OPF objective function.
4. Since some parts of the network are aggregated, some generators
(e.g. with negative PMIN) represent aggregations of multiple loads
and generators.
Cédric Josz, Stéphane Fliscounakis, Jean Maeght, Patrick Panciatici
firstname.lastname@rte-france.com
Réseau de Transport d'Electricité (French Transmission System Operator)
Département Expertise Système, Immeuble "Le Colbert"
9 rue de la Porte de Buc, 78000 Versailles Cedex, France
March 18th, 2015
Copyright (c) 2015 by Cédric Josz, Stéphane Fliscounakis, Jean Maeght,
and Patrick Panciatici
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
33,486 generated data and conversion-log comment lines are omitted.
pglib_opf_case9591_goc#
Python: pwrs.data.pglibopf.pglib_opf_case9591_goc()
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%%% (https://github.com/power-grid-lib/pglib-opf) %%%%%
%%% Benchmark Group - Typical Operations %%%%%
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This is a synthetic 9,591 bus case, developed for use in ARPA-e's Grid
Optimization Competition, Challenge 1.
https://gocompetition.energy.gov/challenges/22/datasets
Copyright (c) 2020 University of Wisconsin-Madison
https://dev.epigrids.discovery.wisc.edu/
Licensed under the Creative Commons Attribution 4.0 International license,
http://creativecommons.org/licenses/by/4.0/
10,353 generated data and conversion-log comment lines are omitted.