湖南电力 ›› 2026, Vol. 46 ›› Issue (5): 151-161.doi: 10.3969/j.issn.1008-0198.2026.05.019

• 电力防灾减灾 • 上一篇    下一篇

动态交通下配电网灾后资源调配与抢修优化

邓强斌, 李佳顺, 陈春   

  1. 长沙理工大学电气与信息工程学院,湖南 长沙 410114
  • 收稿日期:2026-08-10 修回日期:2026-08-24 发布日期:2026-11-06
  • 通信作者: 陈春(1987),男,博士,副教授,博士生导师,从事配电网运行与控制技术研究工作。
  • 作者简介:邓强斌(2007),男,本科,从事极端天气下的配电网故障抢修研究工作。李佳顺(2000),男,硕士,从事极端天气下的配电网故障抢修研究工作。
  • 基金资助:
    国家自然科学基金项目(52577081)

Post-Disaster Resource Dispatch and Repair Optimization of Distribution Networks Considering Dynamic Traffic

DENG Qiangbin, LI Jiashun, CHEN Chun   

  1. School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
  • Received:2026-08-10 Revised:2026-08-24 Published:2026-11-06

摘要: 针对极端灾害下交通状态动态变化导致应急资源转场时间难以准确刻画、影响配电网灾后恢复决策的问题,提出一种考虑动态交通的应急资源调控与抢修协同优化方法。采用元胞传输模型刻画灾后交通流时空演化,结合交通延误模型推断时变行驶时间,并将其嵌入移动应急电源与抢修队协同调度模型,实现交通可达性与配电网恢复过程的联合优化。算例结果表明,所提方法能够协调移动应急供电与线路修复,优先恢复重要负荷;相比就近抢修方案,达到90%累计加权恢复贡献的时间由190.46 min缩短至109.29 min,恢复期间节点电压保持在0.96~1.03 p.u.,有效提升了灾后电网恢复效率与调度方案的可执行性。

关键词: 配电网, 动态交通, 抢修调度, 协同优化, 灾后恢复

Abstract: To address the difficulty in accurately characterizing emergency resource travel times caused by dynamically evolving traffic conditions under extreme disasters, which may adversely affect post-disaster distribution network restoration decisions, a coordinated optimization method for emergency resource dispatch and repair considering dynamic traffic is proposed. A cell transmission model is employed to characterize the spatiotemporal evolution of post-disaster traffic flow, while a traffic delay model is used to estimate time-varying travel times. The resulting travel-time information is further embedded into the coordinated scheduling model of mobile emergency power supplies and repair crews, thereby enabling joint optimization of traffic accessibility and the distribution network restoration process. Case studies demonstrate that the proposed method can effectively coordinate mobile emergency power supply and line repair while prioritizing the restoration of critical loads. Compared with the nearby repair plan, the time required to achieve 90% of the cumulative weighted recovery contribution decreases from 190.46 minutes to 109.29 minutes. During the recovery period, the node voltage can remain between 0.96 and 1.03 p.u., effectively improving the post-disaster recovery efficiency and the executability of the dispatch plan.

Key words: distribution network, dynamic traffic, repair scheduling, coordinated optimization, post-disaster restoration

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