Multi terminal transmission line fault detection using ANN and wavelet packet decomposition

Abstract

Identification of fault area on transmission lines is the main aim of this paper. By using Wavelet packet transform technique signals are decomposed to extract the broken current and voltage signals from the faulty phase. For estimating fault location extricated highlights are connected to artificial neural system (ANN). Their examination become increasingly convoluted and tedious as data increases in size. To diminish the measure of highlight vectors the vitality rule is connected to wavelet packet coefficients. For reducing data sets in size the test consequences of ANN exhibit that the applying of vitality basis to current flags after WPT is an exceptionally amazing and solid strategy. By lessening the information by WPT technique fault identification become easy and faster.