Interference Source of Voltage Sag in Distribution System Automatic Identification and Classification Using Wavelet and Neural Network

Voltage sags due to line fault, transformer energizing and induction motor starting were analyzed based on an PSB (power system blockset) simulation model in the paper at first. Then presents a method to identify and classify interference source of voltage sag in distribution system using a novel combination of wavelet transform and artificial neural network. The simulated waves were discomposed into 7 levers using wavelet transform, afterwards, the energy feature, which was extracted from the wavelet coefficients under different levers, was employed as the inputs of the neural networks to identify and classify the interference source of voltage sag. The results of simulation and case study show the proposed method is simple and validity