High impedance fault detection in 11 kV overhead line with discrete wavelet transform and independent component analysis

This paper proposes an analysis of high-impedance fault detection algorithms for medium voltage distribution lines based on the discrete wavelet transform (DWT) technique and a more advanced named independent component (ICA) independently. Three-phase line model two diodes high impedance model, which represents unsymmetrical current electric arc, simulated using MATLAB/Simulink. High (HIF) algorithm initially analyzes sampled waveforms through DWT resultant third level high-frequency components “d3” coefficients are analyzed one cycle moving window approach. The proposed successfully detects any HIF in even if there is slight or no difference amplitude waveform phase current. On other hand, ICA developed than separated noise signals from obtained can be differentiated with non-HIF signals. Because this reason chosen research. detected 50 ma up.