Security Constrained Optimal Power Shutoff

TL;DR

This paper introduces a new optimization model for power shutoff planning that accounts for unexpected line faults, balancing wildfire risk reduction with network security and resilience.

Contribution

It proposes the first security-constrained optimization framework for PSPS, enabling better trade-offs between wildfire safety and network reliability.

Findings

Incorporating security constraints improves PSPS plan resilience.

The model reveals risks of ignoring post-contingency faults.

Case study demonstrates enhanced safety and reliability.

Abstract

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 pre-emptive deenergization of power lines, commonly referred to as Public Safety Power Shut-offs (PSPS). Besides raising challenging trade-offs between power outages and wildfire safety, PSPS removes redundancy from the network just 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 such outages. To address this gap, we propose the Security-Constrained Optimal Power Shutoff (SC-OPS) problem which uses post-contingency security constraints to model the impact of unexpected line faults when planning a PSPS. This SC-OPS 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 while designing PSPS plans, providing useful insights for utilities and policy makers considering different approaches to PSPS.We demonstrate the efficacy of our model using the EPRI 39-bus test 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.