@misc{b3699a3cc7b14812803244a0672f1d45,
title = "Simulating Impacts of Extreme Events on Grids with High Penetrations of Wind Power Resources",
abstract = "As extreme weather events become more frequent and intense, the demand for connecting grid operation and infrastructure planning with extreme event models will increase as well. We present a methodology for creating damage contingencies and scenarios for electric transmission grids during a hurricane strike. Included is an example case study: Hurricane Dolly damaging a synthetic 2000 bus test system during its landing in Southern Texas. Using WIND Toolkit meteorological data in conjunction with fragility curves for various electric grid elements, we generate stochastic damage scenarios that can be used for short- and long-term planning problems including emergency asset management. We perform statistical analysis of damages and quantify topological effects on example synthetic grid. Also, we investigate loss-of-load events during two-day economic dispatch experiment. Finally, we point out various shortcomings of our method and suggest how it can be improved.",
keywords = "data-driven forecasting, emergency assets, extreme event, fragility curve, hurricane damages, risk quantification, stochastic optimization, transmission grid resiliency",
author = "Ignas Satkauskas and Jonathan Maack and Matthew Reynolds and Devon Sigler and Kinshuk Panda and Wes Jones",
year = "2022",
language = "American English",
series = "Presented at the IEEE PES T&D Conference & Exposition, 25-28 April 2022, New Orleans, Louisiana",
type = "Other",
}