基于遗传算法的配电网故障定位和隔离  

FAULT SECTION DIAGNOSIS AND ISOLATION OF DISTRIBUTION NETWORKS BASED ON GENETIC ALGORITHM

作　　者：杜红卫[1] 孙雅明[1] 刘弘靖 董伟 

机构地区：[1]天津大学自动化学院电力系,天津300072 [2]天津电力工业局三源电力集团公司,天津300402

出　　处：《电网技术》2000年第5期52-55,共4页Power System Technology

基　　金：国家自然科学基金! ( 5 98770 16)

摘　　要：目前配网的故障定位和隔离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。本文提出基于遗传算法的配电网故障定位和隔离 ,能进行全局寻优求解 ,并通过对实时信息进行 0、1编码和构造评价函数实现寻优。当实时信息中出现畸变信息时 ,能自动纠错和进行准确故障定位 ,并具有高容错性能。仿真结果证明了该方法的有效性。At present, the fault section diagreosis and isolation 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 time information. The method of fault section diagreosis and isolation in distribution networks based on genetic algorithm (GA) is presented in this paper. GA can find global optimum solution. The optimum solution is implemented by coding the real time information with 0 or 1 and constructing the fitness function. When the distortion in the signals of real time information appears, GA can correct the mistake automatically and accurately locate the fault. This method has high fault tolerance performance and the results of simulation show that this method is effective.

关 键 词：配电网 故障定位 遗传算法 供电可靠性 

分 类 号：TM72[电气工程—电力系统及自动化]