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Texas A&M University

The Electric Grid Test Case Repository is hosted by Prof. Thomas Overbye , Department of Electrical and Computer Engineering in the College of Engineering at Texas A&M University with support of ARPA-E's GRID DATA program.

Synthetic electric grid cases are a representation of power grids with a detailed modeling of the power system dynamics and protections. Works [1] – [3] present a methodology to create entirely fictitious synthetic power system networks that can capture structural and functional characteristics of actual power grids. Synthetic network base cases are extended with generator cost data and dynamic models for energy economic and transient stability studies in works [4] and [5], respectively.

Synthetic networks have no relation to the actual electric grid in their geographic location, thus they contain no confidential information and pose no security concern. Researchers can freely use synthetic power grid to test and validate new tools and techniques as on actual power grid.

To cite the algorithms used to create these synthetic cases, please use [1]. If you are using synthetic generator cost models, please also cite [4]. If you are using synthetic generator dynamic models, please also cite [5].

[1] A. B. Birchfield; T. Xu; K. M. Gegner; K. S. Shetye; T. J. Overbye, “Grid Structural Characteristics as Validation Criteria for Synthetic Networks,” to appear in IEEE Transactions on Power Systems, vol. 32, no. 4, pp. 3258-3265, July 2017.

[2] A. B. Birchfield; K. M. Gegner; T. Xu; K. S. Shetye; T. J. Overbye, “Statistical Considerations in the Creation of Realistic Synthetic PowerGrids for Geomagnetic Disturbance Studies,” in IEEE Transactions on Power Systems, vol. 32, no. 2, pp. 1502-1510, March 2017.

[3] K. M. Gegner; A. B. Birchfield; T. Xu; K. S. Shetye; T. J. Overbye, “A methodology for the creation of geographically realistic synthetic powerflow models,” 2016 IEEE Power and Energy Conference at Illinois (PECI), Urbana, IL, 2016, pp. 1-6.

[4] T. Xu; A. B. Birchfield; K. M. Gegner; K. S. Shetye; T. J. Overbye, “Application of Large-Scale Synthetic Power System Models for Energy Economic Studies,” 2017 50th Hawaii International Conference on System Sciences (HICSS), Koloa, HI, 2017.

[5] T. Xu; A. B. Birchfield; K. S. Shetye; T. J. Overbye,“Creation of synthetic electric grid models for transient stability studies,” accepted by 2017 IREP Symposium Bulk Power System Dynamics and Control, Espinho, Portugal, 2017.

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ACTIVSg25K - 25000-bus power system test case

The ACTIVSg25k test case is a 25000-bus power system test case that is entirely synthetic, built from public information and a statistical analysis of real power systems. It bears no relation to the actual grid in this location, except that generation and load profiles are similar, based on public data. The case is provided in PowerWorld format, Matpower format, PSS/E raw format, and PSLF epc format.

Synthetic electric grid models are fictitious representations that are designed to be statistically and functionally similar to actual electric grids while containing no confidential critical energy infrastructure information (CEII). Some of these cases were developed with the support of the U.S. DOE ARPA-E Grid Data program; their support is gratefully acknowledged. A description of the initial algorithm used to develop these cases is given in:

A. B. Birchfield, T. Xu, K. M. Gegner, K. S. Shetye, and 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.

Please contact Adam Birchfield (abirchfield@tamu.edu) for any questions regarding this case.

FieldValue
Publisher
Modified Date
2019-04-13
Homepage URL
Release Date
2019-04-13
Identifier
7d7af4c8-f7e3-445e-bf6d-8f09c1dfa444
Spatial / Geographical Coverage Area
POLYGON ((-79.892578125 31.531104300734, -74.267578125 35.200148648075, -68.642578125 41.664160010933, -67.236328125 47.538962931465, -70.400390625 47.420160689813, -73.564453125 44.987597039393, -80.419921875 43.092427915746, -82.353515625 41.926260411598, -83.408203125 35.915156560223))
Spatial / Geographical Coverage Location
Northeast and mid-Atlantic USA
License
License Not Specified
Author
Texas A&M
Contact Name
Birchfield, Adam
Contact Email
Public Access Level
Public