Extreme windstorms such as hurricanes and tornadoes often lead to vast and long-lasting blackouts, with serious 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, as well as the highly 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.

Award: NSF CSSI 2004658