access icon free Wigner distribution function and alienation coefficient-based transmission line protection scheme

© The Institution of Engineering and Technology
Received 26/09/2019, Accepted 03/02/2020, Revised 01/01/2020, Published 06/02/2020

This study presents an algorithm for detection, classification, and location of transmission line faults. A fault index based on features extracted from current signals using the alienation coefficient and Wigner distribution function has been proposed for the detection and classification of faults. Double line and double line to ground faults have been classified from each other using ground fault index based on negative sequence current. Statistical relations are proposed for the estimation of fault location using peak values of the proposed fault index. The results of different case studies established the effectiveness of the algorithm. The algorithm is found to be effective for providing protection to transmission line against various faults. This is achieved using current signals recorded on one terminal of the line. This 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. The proposed protection scheme is also validated on a real-time network of transmission utility. The effectiveness of the algorithm is established by comparing performance with reported algorithms.

Inspec keywords: power transmission protection; power transmission lines; signal classification; fault location; power transmission faults; fault diagnosis; Wigner distribution

Other keywords: ground fault index; current signals; negative sequence current; transmission line fault detection; Wigner distribution function; statistical relations; double line; transmission line fault classification; transmission line fault location; Global Positioning System synchronisation; alienation coefficient-based transmission line protection scheme; transmission utility; communication channel

Subjects: Signal processing and detection; Power system protection; Other topics in statistics; Power transmission, distribution and supply

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