基于蚁群算法的交通–配电网抢修恢复优化决策方法
摘要：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。
Abstract:After the power outage caused by extreme events, the damaged traffic roads will affect the progress of the grid repair team to the fault line area, thus delaying the restoration of the distribution networks. For this reason, a method of distribution network emergency repair and restoration combined with the repair of damaged roads was proposed. Firstly, the constraints of rush repair vehicles in the traffic network were constructed based on the analysis of the impact of different damaged roads on rush repair vehicles. Secondly, considering the impact of damaged road emergency repair on power grid emergency repair, taking minimizing power loss of distribution network as an objective, line emergency repair and road repair was coordinated to establish a distribution network emergency repair strategy model, which was solved by ant colony algorithm. Finally, a system coupled with IEEE33-node distribution network and a 12-node transportation network was taken as an example for analysis. The simulation results show that the proposed method effectively improves the speed of distribution network emergency repair and reduces the power loss of distribution 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 distribution network.
标题：基于蚁群算法的交通–配电网抢修恢复优化决策方法
英文标题：Optimization Decision-making Method for Emergency Repair and Restoration of Transportation-distribution Networks Based on Ant Colony Algorithm
作者：颜文婷, 李长城, 孟祥飞, 张沛, 路婷婷,
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,
发表日期：2024-04-10
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