Artificial Neural Network & Wavelet Transform for Identification and Classification of Faults in Electrical Power System

摘要

In a distributed Electrical Power System Faults are the major problem for regular supply to the consumers. A low impedance fault in electrical po wer distributio n system is distinguished by a non -linear and unstable varying fault current due to type of fault. In this combined approach of Wavelet and Artificial Neural Network is used for identification and classification of all types of faults in power distribution system. Wavelet transform identify the types of fault in the form of change in energy in the current waveform and ANN used for classification of faults. IEEE 13-Bus system and 17 bus actual radial distribution system is used to test and verifying the results. The proposed method is implemented and tested in Matlab./ Simulink environment