A Fault Diagnosis Method of Distribution Network based on Intelligent Algorithm

Aiming at the complex problem of fault diagnosis in 110kV distribution network, a tracking algorithm is proposed to optimize it. Tracing algorithm can analyze the relationship between lines and stations, and build different association information rule tables. On the basis of historical statistical information, the line characteristics are analyzed to realize fault location diagnosis. The simulation results show that the tracking method is better than the manual method in fault diagnosis of 110kV distribution network, the accuracy rate is more than 90%, and the diagnosis time is shortened to 10s, which is significantly better than the manual test method. The diagnosis results of 110kV distribution network faults are all less than the standard threshold. Therefore, the tracked diagnosis meets the requirements of fault standards, and there is no abnormal value. Therefore, the tracing method can diagnose and analyze the faults of 110kV distribution network lines, and it is verified that the tracked diagnosis results are more accurate.