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Hauptverfasser:	Piansky, Ryan, Molzahn, Daniel K., Jackson, Nicole D., Skolfield, J. Kyle
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Systems and Control
Online-Zugang:	https://arxiv.org/abs/2506.06575
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author	Piansky, Ryan Molzahn, Daniel K. Jackson, Nicole D. Skolfield, J. Kyle
author_facet	Piansky, Ryan Molzahn, Daniel K. Jackson, Nicole D. Skolfield, J. Kyle
contents	With electric power infrastructure increasingly susceptible to impacts from climate-driven natural disasters, there is an increasing need for optimization algorithms that determine where to harden the power grid. Prior work has primarily developed optimal hardening approaches for specific acute disaster scenarios. Given the extensive costs of hardening the grid, it is important to understand how a particular set of resilience investments will perform under multiple types of natural hazards. Using a large-scale test case representing the Texas power system, this paper aims to understand how line undergrounding investment decisions made for wildfire ignition risk mitigation perform during a range of wildfire, hurricane, and wind events. Given the varying geographical spread and damage profile of these events, we show that investment decisions made to address one type of natural disaster do not necessarily improve broader resilience outcomes, supporting the need for co-optimization across a range of hazards.
format	Preprint
id	arxiv_https___arxiv_org_abs_2506_06575
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Evaluating Undergrounding Decisions for Wildfire Ignition Risk Mitigation across Multiple Hazards Piansky, Ryan Molzahn, Daniel K. Jackson, Nicole D. Skolfield, J. Kyle Systems and Control With electric power infrastructure increasingly susceptible to impacts from climate-driven natural disasters, there is an increasing need for optimization algorithms that determine where to harden the power grid. Prior work has primarily developed optimal hardening approaches for specific acute disaster scenarios. Given the extensive costs of hardening the grid, it is important to understand how a particular set of resilience investments will perform under multiple types of natural hazards. Using a large-scale test case representing the Texas power system, this paper aims to understand how line undergrounding investment decisions made for wildfire ignition risk mitigation perform during a range of wildfire, hurricane, and wind events. Given the varying geographical spread and damage profile of these events, we show that investment decisions made to address one type of natural disaster do not necessarily improve broader resilience outcomes, supporting the need for co-optimization across a range of hazards.
title	Evaluating Undergrounding Decisions for Wildfire Ignition Risk Mitigation across Multiple Hazards
topic	Systems and Control
url	https://arxiv.org/abs/2506.06575

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