Enhancing resilience of distribution system under extreme weather: Two-stage energy storage system configuration strategy based on robust optimization

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2025-03-25 DOI:10.1016/j.ijepes.2025.110624

Ye He , Hongyun Fu , Andrew Y. Wu , Hongbin Wu , Ming Ding

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引用次数: 0

Abstract

Extreme natural disasters can easily cause large-scale power outages in distribution networks (DN), and energy storage system (ESS) contributes to an essential part of integrated solutions to this problem owing to its flexible regulation and rapid response characteristics. A two-stage robust optimization model for ESS that considers the resilience enhancement of a DN under extreme weather conditions is proposed. First, the impacts of secondary hazards on the component failure rates were quantified, and a time-varying matrix of distribution line failures was constructed. Second, an overall recovery index of the DN and an important load recovery index were proposed. Finally, a two-stage robust optimization model for the ESS is established to improve DN resilience with the objective of minimizing the comprehensive economic cost of the ESS and the annual comprehensive weighted load loss, which is solved using the column-and-constraint generation algorithm (C&CG). Furthermore, numerous simulations were performed on the IEEE 33-node system, and it showed that the proposed method can not only ensure the optimal comprehensive economics of the ESS and fully tap the support potential of the ESS, but also maximize the resilience of the DN. Compared to the DN without energy storage system, the proposed method improves the overall resilience and important load recovery of the DN by about 15.9% and 4.3%, respectively.

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增强极端天气下配电系统的恢复能力：基于稳健优化的两阶段储能系统配置策略

极端自然灾害容易造成配电网大规模停电，而储能系统（ESS）以其灵活的调节和快速的响应特性，成为解决配电网大规模停电问题的重要组成部分。提出了一种考虑DN在极端天气条件下弹性增强的两阶段稳健优化模型。首先，定量分析了二次危害对配电线路部件故障率的影响，构建了配电线路故障时变矩阵；其次，提出了电网总体恢复指标和重要负荷恢复指标。最后，以电网综合经济成本和年综合加权负荷损失最小为目标，建立了电网弹性优化的两阶段鲁棒优化模型，并采用列约束生成算法（C&；CG）进行求解。在IEEE 33节点系统上进行了大量仿真，结果表明，该方法既能保证ESS的最佳综合经济性，充分挖掘ESS的支持潜力，又能最大限度地提高DN的弹性。与无储能系统的分布式电网相比，该方法可将分布式电网的整体弹性和重要负荷恢复率分别提高约15.9%和4.3%。

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.