This book elaborates in depth knowledge for efficient detection and classification of various power system faults (such as LG, LL, LLG and LLLG) based on some advanced signal processing methods and approaches. It mainly proposes an appropriate fault index based on features extracted from current and voltage signals using the Alienation coefficient and Wigner distribution function. The fault index (FI) is computed using element to element multiplication of current-based Wigner distribution index (WD-index) and voltage-based alienation index (ALN-index). The performance of the proposed algorithm is tested under different operating scenarios such as fault at different locations on hybrid grid, different fault incident angles, fault impedances, sampling frequency, hybrid line consisting of overhead (OH) line and underground (UG) cable sections, and presence of noise. It is further successfully tested for discriminating the switching events from the faulty events as well. This book offers rich elaborations, systematic content and comprehensive simulation case studies for postgraduate students, educators and practitioners in the domain of power system engineering.

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