Multi Terminal Transmission Line Fault Detection using ANN and Wavelet Packet Decomposition
Sushma Munnangi1, S Mohan Krishna2, Y Srinivasa Rao3
1Sushma Munnangi, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
2S Mohan Krishna, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
3Y Srinivasa Rao, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1232-1236 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6862048419/19©BEIESP
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Abstract: Identification of fault area on transmission lines is the main aim of this paper. By using Wavelet packet transform technique signals are decomposed to extract the broken current and voltage signals from the faulty phase. For estimating fault location extricated highlights are connected to artificial neural system (ANN). Their examination become increasingly convoluted and tedious as data increases in size. To diminish the measure of highlight vectors the vitality rule is connected to wavelet packet coefficients. For reducing data sets in size the test consequences of ANN exhibit that the applying of vitality basis to current flags after WPT is an exceptionally amazing and solid strategy. By lessening the information by WPT technique fault identification become easy and faster.
Keywords: ANN, Wavelet Energy, Wavelet Transform, Wavelet Packet Transform
Scope of the Article: Wireless Power Transmission