基于改进遗传算法的配电网故障定位方法

针对传统遗传算法在分布式电源的不同投切情况下需要改变适应度函数和开关函数,导致故障定位稳定性和精度降低的问题,提出了一种基于改进遗传算法的含分布式电源配电网故障定位方法.该算法使用改进变异和交叉算子在提高收敛速度的同时能避免陷入局部最优解;使用改进的适应度函数和开关函数,以更好地适应分布式电源的不同投切情况;引入分级处理思想以加快大规模电网故障定位的计算速度.仿真实验结果表明,该算法能有效地定位含分布式电源配电网的多重故障问题,相比于传统的遗传算法具有更优的稳定性与定位精度.

Fault location method for distribution network based on improved genetic algorithm

Aiming at the problem that the traditional genetic algorithm needs to change the fitness function and switching function in different switching conditions of distributed power generation, which leads to the stability and accuracy reduction of fault location, a fault location method for the distribution network with the distributed power generation based on the improved genetic algorithm was proposed. The improved mutation and crossover operator was used in the proposed algorithm to improve the convergence speed and avoid the local optimal solution at the same time. The improved fitness function and switching function were used to better adapt to the different switching conditions of distributed power generation. The idea of hierarchical processing was introduced to speed up the calculation speed of large-scale grid fault location. The results of simulation tests show that the proposed algorithm can effectively locate the multiple fault problem of distribution network with distributed power generation, and has better stability and location accuracy than the traditional genetic algorithm.