A novel single end measuring system based fast identification scheme for transmission line faults

• Published in: Measurement : journal of the International Measurement Confederation Vol. 103; pp. 263 - 274
• Main Authors: Adly, Ahmed R., El Sehiemy, Ragab A., Abdelaziz, Almoataz Y.
• Format: Journal Article
• Language: English
• Published: London Elsevier Ltd 01.06.2017; Elsevier Science Ltd
• Subjects: Computer simulation; Discrete Wavelet Transform; Fast fault identification; Fault detection; Fault diagnosis; Fault location; Feature extraction; Karen-Bell transformation; Measurement; Power transmission lines; Sampling; Simulation; Transmission lines; Wavelet analysis; Power transmission lines; Discrete wavelet transform; Karen-Bell transformation; Fast fault identification
• ISSN: 0263-2241; 1873-412X
• DOI: 10.1016/j.measurement.2017.02.041

This paper proposes a novel single end measuring system for fast fault identification in transmission lines (TL). The proposed scheme combines the merits of Discrete Wavelet Transform (DWT) and Karen Bell Transformation (KBT) for the fault analysis process. The proposed scheme is independent on threshold value. The proposed algorithm tested on a 350km, 500kV transmission line for different fault types using ATP/EMTP simulation package. Critical issues like a variation in fault location, fault resistance, fault inception angle and different source capacities are validated using the proposed scheme. The scheme extracts distinctive fault features over 1/16 of a cycle data windows with sampling frequency 6.4kHz. The proposed scheme detects and classifies the fault using only 8 samples from power cycle and the average of fault detection time is 1.25ms. The obtained results indicate that the developed scheme is fast, reliable, robust compared to the previous works in the literature.