Published July 18, 2022 | Version v1

Element: Open Access Data Generation Engine for Bulk Power System under Extreme Windstorms

  • 1. University of Florida
  • 2. University of Utah

Description

Extreme windstorms such as hurricanes and tornadoes often lead to vast and long-lasting blackouts, with severe social and economic consequences. A systematic investigation of power network resilience, appropriate preventive actions, and optimized post-windstorm restoration and repair planning is expected to substantially alleviate such adverse impacts. Unfortunately, due to the disconnection between the physical hazard data and the abstract power system model and the sensitive nature of power system infrastructure, data and tools that represent close to real power system performance during hazards do not exist. This project established a novel data generation engine that enables realistic performance simulation of power systems during extreme windstorms.

Notes

NSF CSSI Award # 2004658

Files

CSSI-PI Meeting-0725-Poster.pdf

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