Cut-set and Stability Constrained Optimal Power Flow for Resilient Operation During Wildfires

Fuente: arXiv
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Autori principali: Sahoo, Satyaprajna, Pal, Anamitra
Natura: Preprint
Pubblicazione: 2023
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author Sahoo, Satyaprajna
Pal, Anamitra
author_facet Sahoo, Satyaprajna
Pal, Anamitra
contents Resilient operation of the power system during ongoing wildfires is challenging because of the uncertain ways in which the fires impact the electric power infrastructure (multiple arc-faults, complete melt-down). To address this challenge, we propose a novel cut-set and stability-constrained optimal power flow (OPF) that quickly mitigates both static and dynamic insecurities as wildfires progress through a region. First, a Feasibility Test (FT) algorithm that quickly desaturates overloaded cut-sets to prevent cascading line outages is integrated with the OPF problem. Then, the resulting formulation is combined with a data-driven transient stability analyzer that predicts the correction factors for eliminating dynamic insecurities. The proposed model considers the possibility of generation rescheduling as well as load shed. The results obtained using the IEEE 118-bus system indicate that the proposed approach alleviates vulnerability of the system to wildfires while minimizing operational cost.
format Preprint
id arxiv_https___arxiv_org_abs_2311_05734
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Cut-set and Stability Constrained Optimal Power Flow for Resilient Operation During Wildfires
Sahoo, Satyaprajna
Pal, Anamitra
Systems and Control
Resilient operation of the power system during ongoing wildfires is challenging because of the uncertain ways in which the fires impact the electric power infrastructure (multiple arc-faults, complete melt-down). To address this challenge, we propose a novel cut-set and stability-constrained optimal power flow (OPF) that quickly mitigates both static and dynamic insecurities as wildfires progress through a region. First, a Feasibility Test (FT) algorithm that quickly desaturates overloaded cut-sets to prevent cascading line outages is integrated with the OPF problem. Then, the resulting formulation is combined with a data-driven transient stability analyzer that predicts the correction factors for eliminating dynamic insecurities. The proposed model considers the possibility of generation rescheduling as well as load shed. The results obtained using the IEEE 118-bus system indicate that the proposed approach alleviates vulnerability of the system to wildfires while minimizing operational cost.
title Cut-set and Stability Constrained Optimal Power Flow for Resilient Operation During Wildfires
topic Systems and Control
url https://arxiv.org/abs/2311.05734