Analysis of high impedance transients and improved data compression using wavelet transform

High impedance transients are difficult to detect and classify by using conventional methods due to low transient current [1]. This paper proposes an alternative technique to detect and classify the high impedance transient by obtaining the energy curve from the wavelet co-efficient at each level. The scheme recognizes the distortion of the voltage and current waveforms caused by the arcs usually associated with high impedance fault. From the results obtained it can be inferred, that the energy level of each transient disturbance has unique deviation from pure sinusoidal waveform in particular energy level, which is adopted to provide reliable classification of the type of transient. Also, this paper proposes a novel technique for disturbance data compression which is called as Improved Disturbance Compression Method (IDCM). In this method, only the disturbance data is compressed not the whole waveform using sparse representation property of Wavelet Transform