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A two-stage stochastic programming model for electric substation flood mitigation prior to an imminent hurricane

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 23 Sep 2024Embargo end date: 01 Jan 2023Publisher:Informa UK LimitedJournal:IISE Transactions, volume 57, pages 920-937 (issn: 2472-5854, eissn: 2472-5862,

Authors: Brent Austgen; Erhan Kutanoglu; John J. Hasenbein;

doi: 10.1080/24725854.2024.2393654 , 10.48550/arxiv.2302.10996

arXiv: 2302.10996 , http://arxiv.org/abs/2302.10996

A two-stage stochastic programming model for electric substation flood mitigation prior to an imminent hurricane

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Abstract

We present a stochastic programming model for informing the deployment of ad hoc flood mitigation measures to protect electrical substations prior to an imminent and uncertain hurricane. The first stage captures the deployment of a fixed number of mitigation resources, and the second stage captures grid operation in response to a contingency. The primary objective is to minimize expected load shed. We develop methods for simulating flooding induced by extreme rainfall and construct two geographically realistic case studies, one based on Tropical Storm Imelda and the other on Hurricane Harvey. Applying our model to those case studies, we investigate the effect of the mitigation budget on the optimal objective value and solutions. Our results highlight the sensitivity of the optimal mitigation to the budget, a consequence of those decisions being discrete. We additionally assess the value of having better mitigation options and the spatial features of the optimal mitigation.

37 pages, 13 figures

Related Organizations

The University of Texas at Austin
United States

Keywords

Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Optimization and Control

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