Evaluating of leakage current of insulators based on the GA-BP neural network

In order to explore the relationship between leakage current of insulators and influence factors, the genetic algorithm to optimize the BP neural network (GA-BP) was proposed to establish the prediction model of insulator leakage current. Firstly, artificial pollution tests were carried out on single suspension insulators, while waveforms of leakage current were recorded and analyzed by a leakage current monitoring system under the conditions of different operating voltage U, different relative humidity RH and equivalent salt deposit density ρESDD. Secondly, with U, RH and ρESDD as the input variables of BP neural network predictive model, after the use of the global searching ability of genetic algorithm to obtain the initial weights and bias of the BP neural network, a leakage current amplitude prediction model was established and verified by certain experimental data. The results showed that the GA-BP neural network can improve the precision and accuracy of the prediction, compared with the prediction of leakage current amplitude by the Least Square method and BP neural network method. © 2016, Science Press. All right reserved.