Classification of power system faults using wavelet transforms and probabilistic neural networks

Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed. The Probabilistic Neural Network (PNN) for detecting the type of fault is used. The work presented in this paper is focused on identification of simple power system faults. Wavelet Transform (WT) of the transient disturbance caused as a result of the occurrence of a fault is performed. The detail coefficient for each type of simple fault is characteristic in nature. PNN is used for distinguishing the detail coefficients and hence the faults.