Fault location method based on genetic algorithm for DC distribution network

After the short-circuit fault of the line in DC system,the fault current rises rapidly,which causes great harm to the system safety. To solve this problem,a fault location method of the DC distribution network based on genetic algorithm is proposed. First,the mathematical models are established respectively for the DC system under the conditions of pole-to- pole fault and the pole- to- ground fault,and the intermediate- quantity transition resistance was eliminated by using the double- ended electrical quantity. Then,two kinds of fault mathematical model are used to construct the fitness function respectively,and the fault location problem is transformed into a parameter identification problem. The genetic algorithm (GA)is used to identify it which avoids the interference caused by incorrect data collection. Finally,a six- terminal DC distribution network model is built on the HILS platform to verify the simulation results. The results show that this method has strong resistance to transient resistance,high positioning accuracy,and has strong robustness. © 2020, Solar Energy Periodical Office Co., Ltd. All right reserved.