Analyzing Impact of Different Mother Wavelets on Power Swing and Fault Detection

Wavelet Transform represents the improved form of Fourier Transform of the signal having wide range in signal processing and pattern re-cognition. This paper studies application of discrete wavelet transform detection of two commonly existing abnormalities in power system including different fault types and power swings. This paper proposes four mother wavelet types namely: Battle Lemarie (Piecewise Linear Spline), Beylkin, Daubechies and Symlet for differentiating faults from power swing by extracting voltage and current signals and evaluating signal wavelet energy. Comparison study is commented at the end for varied fault locations. The proposed study is implemented on a 400 kV, 50 Hz parallel transmission line network developed in MATLAB software