基于改进蚁群算法的配电网故障定位

Distribution network fault location based on the improved ant colony algorithm

目前配电网的故障定位采用故障电流分析方法,在实时信息序列中存在畸变信息时有可能错判或误判,导致城市配电网发生故障时无法快速准确定位的问题。首先对蚁群算法进行改进,采用了一种根据蚁群算法搜索情况来自适应动态修改信息素的方法,使得算法更好地跳离局部最优解,然后通过建立适当的数学模型,对IEEE-33节点测试系统进行了仿真计算,最终结果证明了该算法在配电网故障定位方面的有效性。

At present, the fault section location in distribution networks is performed by use of the short circuit current analysis, and the false results may be got due to the existing distortion in the signals of real-timeinformation,so scheduling workers can＇t find the real city fault section sometimes.This paper improves the ACO at first by adaptive dynamic modifying pheromone based on the search condition of the ACO,to make the ACO better at finding golbal optimum solution,then makes a proper math model to use the improved ACO at distribution network fault location to make a simulation calculation based on the IEEE-33 system,and the result validates the effectivity of this arithmetic at last.