| 引用本文: | 彭里卓,林达,汪湘晋,高志海,熊欣睿,杨莉,林振智.计及交通动态事件和交通有限理性的移动储能应急调度优化[J].电力自动化设备,2026,46(1):116-126 |
| PENG Lizhuo,LIN Da,WANG Xiangjin,GAO Zhihai,XIONG Xinrui,YANG Li,LIN Zhenzhi.Emergency scheduling optimization of mobile energy storage considering traffic dynamic events and traffic bounded rationality[J].Electric Power Automation Equipment,2026,46(1):116-126 |
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| 摘要: |
| 在灾后交通网络和配电系统双重受损的情况下，现有移动储能系统(MESS)与固定储能系统(SESS)的联合调度策略通常未考虑灾后交通流量重新分配过程中交通用户有限理性决策对MESS通行时间的影响，导致MESS路径引导策略可靠性和配电系统灾后恢复能力仍有提升空间。为此，提出计及灾后多种交通动态事件和基于改进有限理性用户均衡原理的MESS通行时间鲁棒估计方法，形成MESS通行时间鲁棒估计值以提升其路径引导策略的可靠性。在此基础上，构建计及MESS鲁棒通行时间的SESS与MESS应急调度优化模型，形成储能联合调度策略以提升配电系统的灾后恢复能力。以改进苏福尔斯交通网络和改进IEEE 33节点配电系统为算例对所建模型进行验证，结果表明，所建模型可在极端交通条件下提升配电系统的灾后恢复能力。 |
| 关键词: 移动储能系统 固定储能系统 配电系统恢复 交通动态事件 有限理性用户均衡 应急调度 |
| DOI：10.16081/j.epae.202507023 |
| 分类号:TM73 |
| 基金项目:国家电网有限公司总部科技项目(5419-202319467A-3-2-ZN) |
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| Emergency scheduling optimization of mobile energy storage considering traffic dynamic events and traffic bounded rationality |
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PENG Lizhuo1, LIN Da2, WANG Xiangjin2, GAO Zhihai1, XIONG Xinrui3, YANG Li1, LIN Zhenzhi1
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1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.State Grid Zhejiang Electric Power Research Institute, Hangzhou 310011, China;3.Zhejiang University-University of Illinois Urbana-Champaign Institute, Haining 314400, China
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| Abstract: |
| In the case of dual damage to the transportation network and distribution system after disasters, the existing joint scheduling strategies of mobile energy storage system(MESS) and stationary energy storage system(SESS) usually insufficiently consider the impact of traffic users’ bounded rationality decision on MESS travel time in the post-disaster traffic flow redistribution process, so the reliability of MESS route guidance strategy and the post-disaster recovery capability of distribution system can still be further improved. Therefore, a robust estimation method of MESS travel time considering various traffic dynamic events after disasters and based on the improved boundedly rational user equilibrium principle is proposed, and then the robust estimate value of MESS travel time is formed to enhance the reliability of route guidance strategy. On this basis, an emergency scheduling optimization model of SESS and MESS considering the robust travel time of MESS is constructed to form a joint scheduling strategy for energy storage, so as to improve the post-disaster recovery capability of the distribution system. The established model is verified by the modified Sioux Falls transportation network and the modified IEEE 33-bus distribution system. The results show that the established model can enhance the post-disaster recovery capability of the distribution system under extreme traffic conditions. |
| Key words: mobile energy storage system stationary energy storage system distribution system recovery traffic dynamic events boundedly rational user equilibrium emergency scheduling |
