Quasi Second-Order Stochastic Dominance Model for Balancing Wildfire Risks and Power Outages due to Proactive Public Safety De-Energizations
Quasi Second-Order Stochastic Dominance Model for Balancing Wildfire Risks and Power Outages due to Proactive Public Safety De-Energizations
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DOI：
10.1109/tpwrs.2023.3289788
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发表时间：
2024-03
影响因子：
6.6
通讯作者：
Jinshun Su;S. Mehrani;P. Dehghanian;M. Lejeune
中科院分区：
文献类型：
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作者：
Jinshun Su;S. Mehrani;P. Dehghanian;M. Lejeune
电力分配系统（DSs）中架空电力线路基础设施的故障可能会引发灾难性的野火，特别是在大风、低湿度和茂密植被的地区。电力公司为抵御这种由电引起的野火而采取的常见做法被称为公共安全断电（PSPS）：故意和主动切断电力线基础设施的电力，以防止野火风险的策略。本文利用拟二阶随机优势度（Q-SSD）度量，提出了一个优化模型，以生成最优的PSPS计划，该计划可以降低代价高昂的野火风险，同时使故意停电最小化。这一目标是通过在DS中战略性地部署可运输能源备份技术，即移动电源（mps）来实现的。提出的模型是一个随机混合整数非线性规划（S-MINLP）模型，该模型捕捉了不同天气条件下野火后果的不确定性。我们推导了一个易于处理的线性化过程，将S-MINLP模型重新表述为一个等效的混合整数线性问题。在IEEE 33节点测试系统上的数值研究表明，由此产生的PSPS行动在平衡野火风险和停电后果方面的效率，并强调了与最先进和基准公式相比，所提出的建模方法的有希望的性能。
Faults on overhead power line infrastructures in electric power distribution systems (DSs) can potentially ignite catastrophic wildfires, especially in areas exposed to high wind regimes, low humidity, and dense vegetation. The common practice adopted by electric utilities to build resilience against such electrically-induced wildfires is called public-safety power-shutoff (PSPS): strategies to intentionally and proactively de-energize power line infrastructures to prevent wildfire risks. Using a quasi second-order stochastic dominance (Q-SSD) measure, this article proposes an optimization model to generate an optimal PSPS plan which mitigates the risk of costly wildfires while keeping the intentional power outages minimal. This objective is achieved by the strategic deployment of transportable energy backup technologies in the DS, i.e., mobile power sources (MPSs). The proposed model is a stochastic mixed-integer nonlinear programming (S-MINLP) capturing the uncertainties in wildfire consequences under different weather realizations. We derive a tractable linearization procedure to reformulate the S-MINLP model as an equivalent mixed-integer linear problem. Numerical studies on the IEEE 33-node test system demonstrate the efficiency of the resulting PSPS actions in balancing the wildfire risks and the power outage consequences, and highlight the promising performance of the proposed modeling approach compared to the state-of-the-art and benchmark formulations.