A Voltage Algorithm using Discrete Wavelet Transform and Hilbert Transform for Detection and Classification of Power System Faults in the Presence of Solar Energy

Abstract

This presents a voltage based algorithm using hybrid features of voltage extracted using discrete wavelet transform (DWT) and Hilbert transform (HT) for identification and classification of faults on transmission line in the presence of solar energy. The proposed algorithm presents the fault indexes based on voltage signal which is used for investigations of faults. The voltage signal is processed using DWT at a sampling frequency (SF) of 3.907 kHz for obtaining W-index using detailed coefficient at first decomposition level. This voltage signal is also processed using HT at a SF of 3.907 kHz for obtaining proposed H-index from absolute magnitude of Hilbert transform output. Proposed fault index is obtained by multiplying the W-index and H-index. A threshold value of proposed voltage based fault index (FI) is selected to discriminate faulty phase from healthy one. Investigated faults in the presence of solar energy include line to ground (LG), double line (LL), double line with ground (LLG) and three phase with ground (LLLG).