A Single Ended Wavelet Based Fault Classification Scheme in Transmission Line

Transmission lines are the arteries of power system network that transfer power from the generating station to the consumers. Detection of faults and identification of faulty phase/s are of primary concern to the power system engineers as fault deteriorates power quality transfer and power stability. This paper presents a wavelet multiresolution analysis for detection and classification of faults in a transmission line. The proposed technique collects current signals of the local end of the transmission line and uses only half cycle of the post-fault data. All possible ten types of faults under different fault inception angles and fault resistances have been detected and classified with reasonable accuracy. Simulation tests on real time digital simulator have been carried out in the laboratory and the results are presented to ascertain that the proposed method is robust to various types and nature of faults in the transmission lines at different locations.