配电网重构的自适应和声搜索算法

采用和声搜索算法（ＨＳＡ）搜索最优方案进行配电网重构时，会受初始参数值的影响。为此，提出自适应和声搜索算法（ＡＨＳＡ）。在和声搜索算法中加入局部搜索进行改进，增强了算法的寻优性能。建立以降低网络的有功和无功功率损耗为目标的配电网重构的数学模型，采用基于节点分层的前推回代法对网络结构进行潮流计算和分析。对IEEE69节点配电网进行仿真，与和声搜索算法，遗传算法（ＧＡ）的结果进行对比分析，表明该算法的迭代次数少，有较好的收敛效果。在配电网重构的算例应用中，证明了自适应和声搜索算法是可行的。

Adaptive Harmony Search Algorithm for Optimal Network Reconfiguration

The harmony search algorithm(HSA) is affected by initial parameter values when it is used to search the optimal scheme for distribution network reconfiguration. Therefore, an adaptive harmony search algorithm(AHSA) is proposed and improved by adding local search, thus enhancing the optimization performance of the algorithm. A mathematical model of distribution network reconfiguration is built for the purpose to reduce the active and reactive power loss, and a load flow calculation is made for the network with the forward and back/forward substitution method based on node-layer. The IEEE 69-bus radial distribution system is simulated and the simulation result is compared with that calculated with the harmony search algorithm and genetic algorithm (GA), which shows that the proposed algorithm has less iterative times and better convergence effect. The adaptive harmony search algorithm is proved feasible through its application in distribution network reconfiguration.