LAUSR

Abstract 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 350 km, 500 kV 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 6.4 kHz. The proposed scheme detects and classifies the fault using only 8 samples from power cycle and the average of fault detection time is 1.25 ms. The obtained results indicate that the developed scheme is fast, reliable, robust compared to the previous works in the literature.