Bhuvnesh Rathore

TL;DR: In this article, a wavelet-alienation based algorithm for protection of two terminal transmission line is presented, which makes use of wavelet transform based approximate coefficients of three-phase voltage and current signals, obtained over a quarter cycle to detect, classify and locate various faults.

TL;DR: The algorithm is found to be effective for providing protection to transmission line against various faults and makes the protection scheme less complex, fast and more economic due to the elimination of the requirement of communication channel and global positioning system synchronisation.

TL;DR: A novel, protection algorithm based on wavelet-alienation-neural technique for STATCOM-compensated transmission system, validated for various faults at different locations with varying fault impedances and angles of fault incidence is introduced.

TL;DR: The proposed algorithm makes use of wavelet transform based approximate coefficients of three-phase voltage and current signals, obtained over a quarter cycle to detect, classify and locate various faults in multi-terminal transmission system.

TL;DR: In this article, a Wavelet-Alienation-Neural (WAN) technique was developed for the fault analysis of Unified Power Flow Controller (UPFC) compensated transmission network, where the detection and classification of various outages are accomplished by alienation of wavelet based approximate coefficients computed from current signals.