Research On Fault Location And Recovery Reconfiguration Of Distribution Network Containing Distributed Power Generation

In recent years,the government has vigorously supported the development of new energy sources,and the development of new energy sources with low pollution,high rel iability and high efficiency,distributed generation(DG),has become a general trend.C onnecting distributed power sources to the distribution network reduces pollution emissi ons to a certain extent and eases peak load pressure.However,due to the access of DG i n the distribution network,the direction of the power flow of the original distribution ne twork has been changed,and the fault location and restoration of the distribution networ k based on the traditional genetic algorithm is no longer applicable.To this end,this pap er proposes a sub-population genetic algorithm to study the fault location and recovery of the distribution network.This article first discusses the impact of DG’s access to the distribution network on the fault location of the distribution network;when using traditional genetic algorithms,the computational efficiency is not high,and it is easy to fall into the local optimum and the optimum solution cannot be obtained.This paper proposes a population-based genet ic algorithm:use different populations to represent different types of failures to replace t he population model in the traditional genetic algorithm,and use single crossover to repl ace the individual crossover model of the traditional genetic algorithm to complete the g enetic operation.A simulation was performed.The results show that,compared with the traditional genetic algorithm,the use of the sub-population genetic algorithm can effect ively improve the efficiency of fault location in the distribution network,speed up the c alculation of the algorithm,and have higher accuracy.On the other hand,the fault recovery reconstruction is researched,a mathematical model based on the genetic algorithm of sub-populations is constructed,and the DG is d ivided into islands to reconstruct the distribution network in areas other than islands.Aft er the improved algorithm,the sub-population genetic algorithm can be effectively appli ed to the fault recovery model of the distribution network.Through the simulation analy sis of IEEE33 nodes,the distribution network reconstruction model can meet the power supply requirements of the power outage area.The use of sub-population genetic algorithm for fault location and fault recovery re construction can significantly increase the speed of fault location in the distribution net work and meet the requirements of fault location;the reconstructed distribution network can realize power supply in most of the blackout areas,and meet the minimum network loss and switching The minimum number of actions is required,which is feasible in pra ctical applications.Figure[36]table[12]reference[81]...