Author(s): Rameshkumar Mishra, P M Deoghare
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol. 3 - Issue 5 (May - 2014)
Power Transmission line fault identification and classification requires fast and accurate analysis. The action of tripping mainly depends on the voltage and current waveforms obtained during the fault at the relay location. Wavelet analysis which is a mathematical tool for signal analysis is used to detect and classify the type of fault occurring on the transmission line. The coefficient of discrete approximation of the dyadic wavelet transform with different wavelets are used to be an index for transmission line fault detection and faulted – phase selection and select which wavelet is suitable for this application. The Discrete Wavelet Transform (DWT) is used for the analysis of current waveform during the fault. MATLAB/Simulation is used to generate fault signals. Simulation results reveal that the performance of the proposed fault detection indicator is promising and easy to implement for computer relaying application.
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