Synthetic electric grid cases are a representation of fictitious power grids with a detailed modeling of the power system elements. References [1] – [3] present a methodology to create synthetic grid cases 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 [4] and [5], respectively.
Synthetic networks have no relation to the actual electric grid in their geographic location, thus they do not contain Critical Energy Infrastructure Information (CEII). Researchers can freely use synthetic power grids to test and validate new tools and techniques as on an actual power grid. This work is supported by ARPA-E’s GRID DATA program.
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] and [10]. Reference [8] and [11] cover the time series data.
If you are using the original Polish grid cases, please cite [13]. If you are using the updated Polish system case2746wop, please cite [14].
If you are using the weather data, please cite [15] – [17]. Additionally, please refer to How to acknowledge, cite and reference data published on the Climate Data Store to cite [17].
Publications
[1] A. B. Birchfield; T. Xu; K. M. Gegner; K. S. Shetye; T. J. Overbye, “Grid Structural Characteristics as Validation Criteria for Synthetic Networks,” 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,” 2017 IREP Symposium Bulk Power System Dynamics and Control, Espinho, Portugal, 2017. [6] A. B. Birchfield, E. Schweitzer, H. Athari, T. Xu, T. J. Overbye, A. Scaglione, and Z.Wang, “Validation metrics to assess the realism of synthetic power grids,” Energies, vol. 10, no. 8, p. 1233, Aug. 2017. [7] A. B. Birchfield, T. Xu, K. S. Shetye, and T. J. Overbye, “Building synthetic power transmission networks of many voltage levels, spanning multiple areas,” 2018 51st Hawaii International Conference on System Sciences (HICSS), Koloa, HI, 2018. [8] H. Li, A. L. Bornsheuer, T. Xu, A. B. Birchfield and T. J. Overbye, “Load modeling in synthetic electric grids,” 2018 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA, 2018, pp. 1-6. [9] A. B. Birchfield, T. Xu, and T. J. Overbye, “Power flow convergence and reactive power planning in the creation of large synthetic grids,” in IEEE Transactions on Power Systems, 2018. [10] T. Xu, A. B. Birchfield and T. J. Overbye, “Modeling, Tuning and Validating System Dynamics in Synthetic Electric Grids,” in IEEE Transactions on Power Systems, 2018. [11] H. Li, J. H. Yeo, A. L. Bornsheuer and T. J. Overbye, “The Creation and Validation of Load Time Series for Synthetic Electric Power Systems,” in IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 961-969, March 2021, doi: 10.1109/TPWRS.2020.3018936. [12] H. Li et al., “Building Highly Detailed Synthetic Electric Grid Data Sets for Combined Transmission and Distribution Systems,” in IEEE Open Access Journal of Power and Energy, vol. 7, pp. 478-488, 2020, doi: 10.1109/OAJPE.2020.3029278. [13] C. Coffrin, R. Korab, et al., “The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms,” arXiv preprint arXiv:1908.02788, 2019. [14] J. Snodgrass, S. Kunkolienkar, U. Habiba, Y. Liu, M. Stevens, F. Safdarian, T. Overbye, R. Korab, “Case Study of Enhancing the MATPOWER Polish Electric Grid,” IEEE Texas Power and Energy Conference, College Station, TX, February 2022. [15] T. J. Overbye, F. Safdarian, W. Trinh, Z. Mao, J. Snodgrass, and J. Yeo, “An Approach for the Direct Inclusion of Weather Information in the Power Flow,” Proc. 56th Hawaii International Conference on System Sciences (HICSS), January 2023. [16] F. Safdarian, M. Stevens, J. Snodgrass, T. J. Overbye, “Detailed Hourly Weather Measurements for Power System Applications”, 2024 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, Feb. 2024.[17] Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.adbb2d47 (Accessed on 23-01-2024)