基于人类进化算法的配电网故障定位  

Fault location for distribution network based on the human evolutionary algorithm

作　　者：严太山[1,2] 

机构地区：[1]湖南理工学院信息与通信工程学院,岳阳414000 [2]湖南理工学院复杂系统优化与控制湖南省普通高等学校重点实验室,岳阳414000

出　　处：《仪器仪表学报》2015年第3期694-700,共7页Chinese Journal of Scientific Instrument

基　　金：湖南省科技计划(2012WK4015;2012GK3109);湖南省高校科技创新团队支持计划(湘教通[2012]318)资助项目

摘　　要：人类进化算法是模拟人类进化机制而建立起来的一种高性能的智能优化算法,是由生物进化算法和知识进化算法结合而成的。为提高配电网故障定位的速度和准确度,将人类进化算法应用于配电网故障定位,对复杂配电网进行处理时结合分级处理思想,先对配电网系统进行分区,在各独立区域中分别使用人类进化算法进行故障定位,再对主干支路和有故障的独立区域进行全局寻优,从而大大减少了计算量。实例表明,与求解配电网故障定位问题的其他一些智能算法相比,这种基于人类进化算法的配电网故障定位方法不仅定位准确,而且定位速度更快,它对求解复杂配电网的故障定位问题尤为优越。Human evolutionary algorithm（ HEA） is an intelligent optimization algorithm with high performance simulating human evolutionary mechanism,which is formed by combining the biological evolutionary algorithm and the knowledge evolutionary algorithm.In order to improve the speed and precision of fault location,human evolutionary algorithm is used in the fault location of the distribution network.For the complicated distribution network,stage treatment strategy is introduced.The distribution network system is divided into some separate regions firstly.Then,human evolutionary algorithm is used to locate faults for all separate regions.At last,the global optimal is searched for in the main branch and the separate regions with faults.The calculation is reduced largely.Experimental results show that it is accurate to locate faults,and human evolutionary algorithm is faster than some other intelligent algorithms.The method is peculiarly prominent for the fault location of complicated distribution networks.

关 键 词：配电网故障定位 人类进化算法 分级处理 全局寻优 

分 类 号：TM72[电气工程—电力系统及自动化] TP301[自动化与计算机技术—计算机系统结构]