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基于改进遗传算法的含分布式电源的配电网故障定位
引用本文:王进强,陈少华. 基于改进遗传算法的含分布式电源的配电网故障定位[J]. 电力科学与工程, 2013, 0(12): 13-17
作者姓名:王进强  陈少华
作者单位:[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
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。

关 键 词:分布式电源  配电网  故障定位  改进遗传算法

Fault Location for Distribution Network with Distributed Power Based on Improved Genetic Algorithm
Wang Jinqiang,Chen Shaohua. Fault Location for Distribution Network with Distributed Power Based on Improved Genetic Algorithm[J]. Power Science and Engineering, 2013, 0(12): 13-17
Authors:Wang Jinqiang  Chen Shaohua
Affiliation:1. Maoming Xinyi Power Supply Bureau of GPGC, Xinyi 525300, China; 2. Guangdong University of Technology, Guangzhou 510006, China)
Abstract: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.
Keywords:distributed generation  distribution network  fault location  improved genetic algorithm
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