基于遗传算法的配电网故障定位和隔离

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。当这时信息中出现畸变信息时,能自动纠错和进行准确的故障定位,并具有高容错性能。仿真结果证明了该方法的有效性。

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

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.