An Open-source Model for Simulation and Corrective Measure Assessment of the 2021 Texas Power Outage Institutional Repository Document uri icon


  • Abstract Unprecedented winter storms that hit across Texas in February 2021 have caused at least 4.5 million customers to experience load shedding due to the wide-ranging generation capacity outage and record-breaking electricity demand. While much remains to be investigated on what, how, and why such wide-spread power outages occurred across Texas, it is imperative for the broader research community to develop insights based on a coherent electric grid model and data set. In this paper, we collaboratively release an open-source large-scale baseline model that is synthetic but nevertheless provides a realistic representation of the actual energy grid, accompanied by open-source cross-domain data sets. Leveraging the synthetic grid model, we reproduce the blackout event and critically assess several corrective measures that could have mitigated the blackout under such extreme weather conditions. We uncover the regional disparity of load shedding. The analysis also quantifies the sensitivity of several corrective measures with respect to mitigating the power outage, as measured in energy not served (ENS). This approach and methodology are generalizable for other regions experiencing significant energy portfolio transitions.

author list (cited authors)

  • Wu, D., Zheng, X., Xu, Y., Olsen, D., Xia, B., Singh, C., & Xie, L. e.

citation count

  • 6

complete list of authors

  • Wu, Dongqi||Zheng, Xiangtian||Xu, Yixing||Olsen, Daniel||Xia, Bainan||Singh, Chanan||Xie, Le

Book Title

  • Research Square

publication date

  • April 2021