关键词: 电网,   ,  故障诊断,   ,  小波神经网络

Abstract: In the power grid fault protection,relay protection and breaker tripping, misoperation, and information in the upload process lost, distortion and other problems make fast and accurate fault diagnosis is still a problem. Although the neural network method is applied, the neural network is easy to fall into local minimum. In this case, the combination of fault diagnosis method based on wavelet neural networks and genetic algorithms were proposed. Gwnetic algorithms learn wavelet neural network weights, scaling function, structure to determine the optimal wavelet neural network. Computer simulation was done in an example.The simulation results show that the optimized fault diagnosis system is superior to BP algorithm of fault diagnosis system, improve the accuracy of fault diagnosis.

Key words: Ppower grid,    ,  Fault diagnosis,   ,  Wavelet neural network