@misc{ce463a9f273b46778b85ab4c3dcf870b,
title = "Emergency Asset Positioning for Resilient Transmission Grid Operation",
abstract = "In this paper we study a problem of hurricane emergency preparedness via placement of emergency generation assets prior to its strike. We present a two-stage stochastic model for choosing locations and quantities of emergency storage to help support the power grid through a hurricane event. The expectation of losses in our two-stage model is estimated using the sample average approximation. We construct damage scenarios for sample average approximation using WIND Toolkit meteorological data and fragility curves of various electric grid components. We demonstrate the efficacy of our two-stage planning model by simulating operations during Hurricane Dolly on the 2000-bus transmission test system. Our model, coupled with our scenario selection strategy, is effective at mitigating loss of load when compared to a model without emergency generation assets placed prior to an extreme event.",
keywords = "emergency preparedness, fragility curves, hurricanes, optimization, storage, transmission operation",
author = "Ignas Satkauskas and Jonathan Maack and Matthew Reynolds and Devon Sigler and Kinshuk Panda and Wes Jones",
year = "2023",
language = "American English",
series = "Presented at the 2023 IEEE Power & Energy Society General Meeting, 16-20 July 2023, Orlando, Florida",
type = "Other",
}