用于降低野火风险的公平网络化微电网拓扑重构
Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation
AI总结：
针对野火风险下停电策略易导致供电中断和连锁故障且影响公平的问题，提出一种网络化微电网滚动时域拓扑重构优化方法，通过引入切负荷约束促进公平，并在IEEE 13-bus和Smart-DS系统上验证了其有效性。
摘要：
近年来野火数量的不断增加持续挑战着电力系统的安全可靠运行。为防止电力线路和其他电气元件在极端条件下引发野火，电力公司通常会部署公共安全停电（PSPS）以降低其中的野火风险。尽管PSPS是应对野火的有效对策，但不协调的策略可能导致供电中断，甚至引发连锁故障。同时，在实施停电行动期间，考虑减轻对不同社区和人群的偏见决策也很重要。在本研究中，我们主要关注具有分布式能源的网络化微电网的动态重构问题。具体而言，我们制定了一个滚动时域优化问题，允许在每个时间间隔进行灵活的网络重构以降低野火风险。为了在停电期间促进公平与公正，我们进一步实施了一系列与切负荷相关的约束，以避免对单个负荷区块造成不成比例的影响。在改进的IEEE 13节点系统和更大规模的Smart-DS系统上进行的数值研究，证明了所提算法在实现更公平的停电操作方面的性能。
英文摘要：
The increasing number of wildfires in recent years consistently challenges the safe and reliable operations of power systems. To prevent power lines and other electrical components from causing wildfires under extreme conditions, electric utilities often deploy public safety power shutoffs (PSPS) to mitigate the wildfire risks therein. Although PSPS are effective countermeasures against wildfires, uncoordinated strategies can cause disruptions in electricity supply and even lead to cascading failures. Meanwhile, it is important to consider mitigating biased decisions on different communities and populations during the implementation of shutoff actions. In this work, we primarily focus on the dynamic reconfiguration problem of networked microgrids with distributed energy resources. In particular, we formulate a rolling horizon optimization problem allowing for flexible network reconfiguration at each time interval to mitigate wildfire risks. To promote equity and fairness during the span of shutoffs, we further enforce a range of constraints associated with load shedding to discourage disproportionate impact on individual load blocks. Numerical studies on a modified IEEE 13-bus system and a larger-sized Smart-DS system demonstrate the performance of the proposed algorithm towards more equitable power shutoff operations.
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