基于改进遗传算法的含分布式电源的配电网故障定位  

Fault Location for Distribution Network with Distributed Power Based on Improved Genetic Algorithm

作　　者：王进强[1] 陈少华[2] 

机构地区：[1]广东电网公司茂名信宜供电局,广东信宜525300 [2]广东工业大学自动化学院,广东广州510006

出　　处：《电力科学与工程》2013年第12期13-17,共5页Electric Power Science and Engineering

摘　　要：大量的分布式电源接入配电网,使得配电网的结构和运行方式均发生了变化。已有的故障定位方法受到了影响,甚至会出现误判。重新定义了含分布式电源的配网中各个开关的正方向,并建立改进遗传算法的开关函数和适应度函数。对算例进行仿真分析,结果表明,改进的遗传算法在含分布式电源的配电网中能准确地定位故障。The access of a large number of distributed generations to distribution network have changed the structure and operation mode of distribution network, which brought much influence to the current fault location methods or even made misjudgment. The positive direction of each switch in the distribution network with distributed power is redefined and a new switching function and fitness function are built, some examples were then simulated. The results of simula- tion show that genetic algorithm can locate fault accurately in distribution network with distributed generation.

关 键 词：分布式电源 配电网 故障定位 改进遗传算法 

分 类 号：TM711[电气工程—电力系统及自动化]