Research on Online Monitoring Method of Arrester Deterioration Based on Improved Genetic Algorithm

Zinc oxide lightning arrester is an important overvoltage protection equipment widely used in 3 similar to 500kV power grids. It gradually ages under operating voltage and external environmental factors. Once the failure occurs, the lightning arrester itself will cause damage or even explosion, affecting the safe operation of the power system. The online monitoring problem of zinc oxide arrester (MOA) is proposed.Using the excellent computing power of improved genetic algorithm, the equivalent model of MOA based on operating voltage and measured leakage current values are avoided. The detonator state parameters are solved to realize the monitoring of the arrester deterioration state. The experiments show that the proposed monitoring technique based on the improved genetic algorithm can calculate the leakage current values well and approximate the actual measured leakage current, improving the accuracy of online monitoring.