DR POWER | Data Repository for Power system Open models With Evolving Resources

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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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DOI Information

No DOI assigned at this time.

ACTIVSg70K - 70000-bus power system test case

Economics and Markets

Generation

Transmission

The ACTIVSg70k test case is a 70000-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.

Data and Resources

dynamics

steady-state

synthetic grids

Field	Value
Publisher	Electric Grid Test Case Repository
Modified	2019-10-01
Release Date	2019-04-13
Homepage URL	http://electricgrids.engr.tamu.edu/
Identifier	6d54b01c-9b4f-4d27-a2d5-466cbbcb5684
License	License Not Specified
Author	Texas A&M
Contact Name	Adam Birchfield
Contact Email	abirchfield@tamu.edu
Public Access Level	Public