Optimal SVI-Weighted PSPS Decisions with Decision-Dependent Outage Uncertainty
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866910912548438016 |
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| author | Greenough, Ryan Murakami, Kohei Kleissl, Jan Khurram, Adil |
| author_facet | Greenough, Ryan Murakami, Kohei Kleissl, Jan Khurram, Adil |
| contents | Public Safety Power Shutoffs (PSPS) are a pre-emptive strategy to mitigate the wildfires caused by power system malfunction. System operators implement PSPS to balance wildfire mitigation efforts through de-energization of transmission lines against the risk of widespread blackouts modeled with load shedding.
Existing approaches do not incorporate decision-dependent wildfire-driven failure probabilities, as modeling outage scenario probabilities requires incorporating high-order polynomial terms in the objective. This paper uses distribution shaping to develop an efficient MILP problem representation of the distributionally robust PSPS problem. Building upon the author's prior work, the wildfire risk of operating a transmission line is a function of the probability of a wildfire-driven outage and its subsequent expected impact in acres burned.
A day-ahead unit commitment and line de-energization PSPS framework is used to assess the trade-off between total cost and wildfire risk at different levels of distributional robustness, parameterized by a level of distributional dissimilarity $κ$. We perform simulations on the IEEE RTS 24-bus test system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_11665 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Optimal SVI-Weighted PSPS Decisions with Decision-Dependent Outage Uncertainty Greenough, Ryan Murakami, Kohei Kleissl, Jan Khurram, Adil Systems and Control Optimization and Control Public Safety Power Shutoffs (PSPS) are a pre-emptive strategy to mitigate the wildfires caused by power system malfunction. System operators implement PSPS to balance wildfire mitigation efforts through de-energization of transmission lines against the risk of widespread blackouts modeled with load shedding. Existing approaches do not incorporate decision-dependent wildfire-driven failure probabilities, as modeling outage scenario probabilities requires incorporating high-order polynomial terms in the objective. This paper uses distribution shaping to develop an efficient MILP problem representation of the distributionally robust PSPS problem. Building upon the author's prior work, the wildfire risk of operating a transmission line is a function of the probability of a wildfire-driven outage and its subsequent expected impact in acres burned. A day-ahead unit commitment and line de-energization PSPS framework is used to assess the trade-off between total cost and wildfire risk at different levels of distributional robustness, parameterized by a level of distributional dissimilarity $κ$. We perform simulations on the IEEE RTS 24-bus test system. |
| title | Optimal SVI-Weighted PSPS Decisions with Decision-Dependent Outage Uncertainty |
| topic | Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2504.11665 |