基于蚁群算法的交通-配电网抢修恢复优化决策方法OA北大核心CSTPCD
Optimization Decision-making Method for Emergency Repair and Restoration of Transportation-distribution Networks Based on Ant Colony Algorithm
极端事件导致大停电后,受损的交通道路会影响电网抢修车队前往故障线路区域的进度,从而延缓配电网恢复.为此,提出了一种结合损坏道路修复的配电网抢修恢复方法.首先,在分析不同受损道路对抢修车行驶影响的基础上,构建交通网抢修车约束.其次,考虑受损道路抢修对电网抢修的影响,以配电网失电量最小为目标,协调线路抢修和道路修复建立配电网抢修策略模型,并采用蚁群算法对所提模型进行求解.最后,以IEEE33节点配电网与一个12节点交通网相耦合的系统作为算例进行分析,仿真结果表明,所提方法切实有效提高了配电网抢修速度,减小了大停电后配电网负荷的失电量.所提方案更适用于灾害发生的实际情况,可为配电网灾后恢复提供参考.
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.
颜文婷;李长城;孟祥飞;张沛;路婷婷
广西大学电气工程学院,广西壮族自治区南宁市 530004国网山东省电力公司经济技术研究院,山东省济南市 250021北京交通大学电气工程学院,北京市海淀区 100044国家知识产权局专利局,北京市海淀区 100088
动力与电气工程
配电网恢复抢修资源调度交通-配电网道路损坏蚁群算法
distribution network restorationscheduling of emergency repair resourcestransportation-distribution net-workroad damageant colony algorithm
《现代电力》 2024 (002)
269-278 / 10
广西自然科学基金项目(2020GXNSFBA297069)Project Supported by the Guangxi Natural Science Foundation Program(2020GXNSFBA297069)
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