新型电力系统与综合能源

考虑地震攻击交通网影响的配电网韧性评估及提升策略

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  • 1.广西大学 电气工程学院,南宁 530004
    2.国网湖南省电力有限公司超高压变电公司,长沙 410007
颜文婷(1996-),硕士生,从事电力系统恢复与韧性研究.

收稿日期: 2022-05-07

  修回日期: 2022-08-12

  录用日期: 2022-08-31

  网络出版日期: 2023-02-14

基金资助

广西自然科学基金项目(2020GXNSFBA297069)

Resilience Evaluation and Enhancement Strategy of Distribution Network Considering Impact of Seismic Attack on Transportation Networks

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  • 1. School of Electrical Engineering, Guangxi University, Nanning 530004, China
    2. State Grid Hunan Extra High Voltage Substation Company, Changsha 410007, China

Received date: 2022-05-07

  Revised date: 2022-08-12

  Accepted date: 2022-08-31

  Online published: 2023-02-14

摘要

严重的地震灾害不仅会造成配电网大面积停电,还会损坏交通网,阻碍配电网恢复资源的运输,进而减缓配电网恢复.考虑地震攻击交通网的影响,提出地震灾害下配电网的韧性评估方法及韧性提升策略.首先,基于地震动峰值加速度建立反映地震灾害与交通-配电网故障概率关系的地震攻击模型,量化地震灾害对交通-配电网的影响,并生成交通-配电网故障场景.其次,引入配电网抢修队等待道路修复疏通时间,提出配电网韧性评估指标.再次,构建考虑故障线路抢修、道路修复疏通以及应急资源调度的配电网恢复双层优化模型并求解,上层优化模型以最小失电负荷量为目标,下层优化模型以最短配电网抢修队等待道路修复疏通时间为目标.最后,采用12节点交通网与IEEE33节点配电网耦合算例,验证所提韧性指标的可行性以及恢复方法的有效性.结果表明:考虑地震攻击交通网影响的配电网韧性评估指标更准确,所提的恢复策略能有效提升地震灾害下配电网韧性.

本文引用格式

颜文婷, 杨隆, 李长城, 罗伟 . 考虑地震攻击交通网影响的配电网韧性评估及提升策略[J]. 上海交通大学学报, 2023 , 57(9) : 1165 -1175 . DOI: 10.16183/j.cnki.jsjtu.2022.152

Abstract

Serious earthquake disasters not only cause power outages in distribution network, but also destroy transportation networks, which hinders the transportation of resources for restoration of distribution network and slows down the restoration. This paper proposes an improved resilience evaluation method and a resilience enhancement strategy of distribution network considering the effects of seismic attack on transportation networks. First, a seismic attack model is established to describe the relation between earthquake disasters and failure probability of transportation-distribution networks based on peak ground acceleration. The impact of earthquake disasters on transportation-distribution networks is quantified, and the failure scenarios are generated. Then, a resilience evaluation index is proposed by introducing the waiting time for road repair of emergency repair teams. Afterwards, a bi-level optimization model for distribution network restoration considering the fault line repair, the road repair, and the emergency resource scheduling is established and solved. The upper layer aims at the minimum power loss load, while the lower layer takes the minimum waiting time of the repair team as the goal. Finally, case studies on a coupling example of a 12-node transportation network and an IEEE 33-node distribution network verify the feasibility of the improved resilience index and the effectiveness of the proposed method. The results show that the resilience index considering seismic attack on transportation networks is accurate, and the restoration strategy can effectively enhance the resilience of distribution network in earthquake disasters.

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