An Improved Fault Restoration Strategy for Distribution Network Power System

Mengyao Liu, Chao Zhang
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Abstract

For problems of distribution network fault restoration, this paper proposes an improved fault restoration strategy based on minimum spanning tree algorithm and heuristic rules. Firstly, the whole distribution network is regarded as a weighted graph, and on the basis of power flow calculation, the Kruskal algorithm is used to solve the minimum spanning tree of the network to find the optimal restoration path that satisfies multiple constraints. Then, the heuristic rules for cooperative recovery of feeder and distributed power supply in the restoration path are established, the residual capacity of feeder and distributed power supply after fault is analyzed, and the problem of line voltage exceeding limit is eliminated by connecting switch. The search space for power supply restoration problems is greatly reduced. Finally, Matlab is used to test node system in IEEE 33 and the improved IEEE 123 to verify the proposed method.
一种改进的配电网故障恢复策略
针对配电网故障恢复问题,提出了一种改进的基于最小生成树算法和启发式规则的故障恢复策略。首先,将整个配电网视为一个加权图,在潮流计算的基础上,利用Kruskal算法求解网络的最小生成树,寻找满足多个约束的最优恢复路径;然后,建立了恢复路径中馈线与分布式电源协同恢复的启发式规则,分析了故障后馈线与分布式电源的剩余容量,并通过连接开关消除了线路电压超限问题。大大缩小了供电恢复问题的搜索空间。最后,利用Matlab在IEEE 33和改进的IEEE 123中对节点系统进行了测试,验证了所提出的方法。
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