基于改进遗传算法的有源配电网故障定位分析

针对利用遗传算法对有源配电网故障定位存在早熟以及收敛速度慢的问题,提出了一种基于改进遗传算法的配电网故障定位方法。依据种群整体的进化特性构造新的交叉变异概率函数,结合种群中个体特性不同,引进了调整因子对反映父代与子代相似关系的相似系数进行调整,并给出一种针对配电网故障定位的单体交叉进化新算子,提高搜索能力并加速了算法的收敛,使配电网故障时能快速准确定位,最后通过仿真验证其有效性。

Analysis of Fault Location for Active Distribution Network Based on Improved Genetic Algorithm

In consideration of the problems of premature and slow convergence speed in the fault location of active distri. bution network using genetic algorithm(GA),a method of fault location of distribution network based on improved GA was proposed. A new crossover mutation probability function was constructed according to the evolutionary characteristics of populations. With the combination of the individual characteristics in populations,an adjustment factor was introduced to adjust the similarity coefficients,which reflect the similar relationship between the parent and its offspring. More. over,a new crossover evolutionary operator of monomers for the fault location of distribution network was given. In this way,the searching capability was improved and the convergence of GA was accelerated,thus the fault of distribution network can be quickly and accurately located. Finally,the validity of the proposed method was verified by simulations.