The reliability and stability of distribution network can not be separated from the normal operation of distribution network,so the fault location is one of the important problems of distribution network fault diagnosis.The variable distribution system has a great impact on the whole power grid,especially the multi-distributed power grid makes the branch structure of the whole power grid complicated,it is of great value to find out the fault location from the complex grid structure for the better power supply of the whole power system.This paper first introduces some common distributed energy sources and their characteristics,and analyzes the principle and requirement of grid-connected distributed power supply,analyzes the influence of bus access and feeder access on the location of distributed power supply,and establishes a distributed distribution network simulation model of constant power control in the matlab/simulink environment.Secondly,the location mathematical model is built,and the principle of the mathematical model is explained and the model is improved by comparing and analyzing the characteristics of two types of distribution networks.Secondly,the state information of false alarm and false alarm in distribution network is analyzed.Finally,the positioning process is designed.Then,the basic whale algorithm is optimized and improved,and the effect of the improved algorithm is verified by simulation.It is concluded that the improved whale algorithm has higher optimization speed,optimization precision and reliability than the basic whale algorithm,then,the location models of two types of distribution networks are established by using Matlab,and two improved algorithms are used to carry out experiments on hypothetical single-point and multi-point fault cases,and Genetic Algorithm and particle swarm algorithm are used to compare,the results show that the improved whale optimization algorithm is better than other algorithms in fault tolerance and rapidness in distribution network location with DG.Finally,by combining the improved Matrix Algorithm with the improved whale optimization algorithm,the fault suspicious sections are obtained by the improved matrix algorithm,and the experiments are carried out on the single-point and multi-point fault cases in the distribution network with DG,the results show that the hybrid algorithm is faster than the improved cetacean algorithm in fault location,and the basic whale algorithm,genetic algorithm and particle swarm optimization are used as control,it is proved that the hybrid algorithm has better performance when applied to the section location problem of distribution network with DG.Figure[56]table[8]reference[80]... |