Wavelet based fault detection, classification and location in existing 500 kV transmission line

This paper describes the implementation of Wavelet Transform and Spectral Energy analysis on samples of simulated voltage and current waveforms obtained from PSCAD/EMTDC for each of the all possible fault scenarios in a modeled 500 kV transmission network. The fault detection and classification of each fault scenarios is determined based on results of the voltage and current waveforms analysis in time and wavelet domains. The analysis is carried out including variation in fault types, inception angles and locations with a practically arbitrarily assumed fault duration. The analytical results shows that the described technique is highly dependable and is able to detect and classify different kinds of faults along a transmission line whatever is the fault type, inception angle and location.