Security constrained optimal power shutoff for wildfire risk mitigation

Rhodes, Noah; Coffrin, Carleton; Roald, Line

doi:10.1049/gtd2.13246

Security constrained optimal power shutoff for wildfire risk mitigation

Journal Article · Thu Aug 22 00:00:00 EDT 2024 · IET Generation, Transmission, & Distribution

DOI:https://doi.org/10.1049/gtd2.13246· OSTI ID:2434079

^[1]; Coffrin, Carleton ^[2]; Roald, Line ^[1]

University of Wisconsin, Madison, WI (United States)
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Electric grid faults are increasingly the source of ignition for major wildfires. To reduce the likelihood of such ignitions in high risk situations, utilities use preemptive de-energization of power lines, commonly referred to as Public Safety Power Shutoffs (PSPS). Besides raising challenging trade-offs between power outages and wildfire safety, PSPS removes redundancy from the network at a time when component faults are likely to happen. This may leave the network particularly vulnerable to unexpected line faults that may occur while the PSPS is in place. Previous works have not explicitly considered the impacts of these outages. To address this gap, the Security Constrained Optimal Power Shutoff problem is proposed which uses post-contingency security constraints to model the impact of unexpected line faults when planning a PSPS. This model enables, for the first time, the exploration of a wide range of trade-offs between both wildfire risk and pre- and post-contingency load shedding when designing PSPS plans, providing useful insights for utilities and policy makers considering different approaches to PSPS. The efficacy of the model is demonstrated using the EPRI 39-bus system as a case study. The results highlight the potential risks of not considering security constraints when planning PSPS and show that incorporating security constraints into the PSPS design process improves the resilience of current PSPS plans.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE; USDOE Advanced Research Projects Agency - Energy (ARPA-E); USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 2434079

Alternate ID(s):: OSTI ID: 2472964
OSTI ID: 2563115

Report Number(s):: LA-UR--23-24226

Journal Information:: IET Generation, Transmission, & Distribution, Journal Name: IET Generation, Transmission, & Distribution Journal Issue: 18 Vol. 18; ISSN 1751-8687

Publisher:: Institution of Engineering and Technology (IET)Copyright Statement

Country of Publication:: United States

Language:: English

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