A comparative study of wavelet based computational intelligence techniques for the protection of parallel transmission lines, synchronous generators and power transformers

Abstract

A new scheme to enhance the solution for the problems associated newlinewith protection of power system components like parallel transmission lines newlinesynchronous generator and power transformer is presented in this work This newlinework demonstrates a novel application of discrete wavelet transform to newlineidentify faults in power system components The discrimination scheme newlinewhich can automatically recognize the fault of the component is proposed newlineusing Artificial Neural NetworkANN Genetic Algorithm based Back newlinePropagation Network GABPN and Adaptive Neuro Fuzzy Inference newlineSystem ANFIS The proposed protection scheme works in two stages the newlinetimefrequency analysis of transients by Discrete Wavelet Transform DWT newlineand the pattern recognition to identify the fault on the power system newlinecomponent newline newline