Transmission line fault classification using discrete wavelet transform

This paper presents wavelet transform based analysis to determine transmission line faults classification. The fault classification technique is developed on the basis of extensive simulation studies carried out on the power system model within the MATLAB Simiilink program for different operating co...

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Bibliographic Details
Published in2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE) pp. 1 - 5
Main Authors Choudhury, Mousam, Ganguly, Amrita
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2015
Subjects
Discrete Wavelet Transform
Fault Classification
Iron
MATLAB Simulink
Noise measurement
Transmission line
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Summary:This paper presents wavelet transform based analysis to determine transmission line faults classification. The fault classification technique is developed on the basis of extensive simulation studies carried out on the power system model within the MATLAB Simiilink program for different operating conditions. Discrete wavelet transform has been applied on the fault current and the mean of approximate coefficients of the phase signals is calculated. Daubechies4 wavelet transform has been applied to decompose the phase signals into Scale 1 wavelet coefficient. The detection is carried out by analyzing the mean of approximate coefficients of the phase signals and the fault classification criteria are presented.
DOI:10.1109/EPETSG.2015.7510112