Research on online diagnosis method of insulator contaminated discharge based on XGBoost algorithm

Abstract

Insulators are one of the commonly used power equipment in overhead transmission lines. Long-term operation of insulators will cause end deterioration, pollution flashover and other problems due to the discharge phenomenon caused by surface contamination, after which equipment failure huge losses to the power system may occur. In order to accurately monitor the discharge status of insulators, an online diagnosis method for insulator contamination discharge based on XGBoost algorithm is proposed in this paper. The discharge status of insulators can be judged by analyzing the discharge acoustic signals of the insulators running under different pollution levels, so as to realize accurate monitoring of insulators. The results show that this method can effectively judge the discharge state of the insulator thus early warnings can be given the safe and stable operation of the power system can be ensured.