现代电力2024，Vol.41Issue(2)：269-278,10.DOI:10.19725/j.cnki.1007-2322.2022.0207
基于蚁群算法的交通-配电网抢修恢复优化决策方法
Optimization Decision-making Method for Emergency Repair and Restoration of Transportation-distribution Networks Based on Ant Colony Algorithm
摘要
Abstract
After the power outage caused by extreme events,the damaged traffic roads will affect the progress of the grid re-pair team to the fault line area,thus delaying the restoration of the distribution networks.For this reason,a method of distribu-tion network emergency repair and restoration combined with the repair of damaged roads was proposed.Firstly,the con-straints of rush repair vehicles in the traffic network were con-structed based on the analysis of the impact of different dam-aged roads on rush repair vehicles.Secondly,considering the impact of damaged road emergency repair on power grid emer-gency repair,taking minimizing power loss of distribution net-work as an objective,line emergency repair and road repair was coordinated to establish a distribution network emergency re-pair strategy model,which was solved by ant colony algorithm.Finally,a system coupled with IEEE33-node distribution net-work and a 12-node transportation network was taken as an ex-ample for analysis.The simulation results show that the pro-posed method effectively improves the speed of distribution network emergency repair and reduces the power loss of distri-bution network load after a major power outage.The proposed scheme is more suitable for the actual situation of disasters,and can provide reference for the post disaster recovery of distribu-tion network.关键词
配电网恢复/抢修资源调度/交通-配电网/道路损坏/蚁群算法Key words
distribution network restoration/scheduling of emergency repair resources/transportation-distribution net-work/road damage/ant colony algorithm分类
信息技术与安全科学引用本文复制引用
颜文婷,李长城,孟祥飞,张沛,路婷婷..基于蚁群算法的交通-配电网抢修恢复优化决策方法[J].现代电力,2024,41(2):269-278,10.基金项目
广西自然科学基金项目(2020GXNSFBA297069)Project Supported by the Guangxi Natural Science Foundation Program(2020GXNSFBA297069) （2020GXNSFBA297069）
