Title: A novel relaying approach of combined discrete wavelet transform and artificial neural network-based relaying scheme in a unified power flow controller integrated wind fed transmission line
Authors: S.K. Mishra; L.N. Tripathy
Addresses: EEE Department, Bharat Institute of Engineering and Technology, Hyderabad, India ' Electrical Engineering Department, Bhubaneswar, India
Abstract: This paper focuses a novel relaying approach of combined discrete wavelet transform (DWT) and artificial neural network (ANN)-based relaying scheme in unified power flow controller (UPFC) integrated wind fed transmission line. The novelty of the scheme illustrates the fault detection time reduces drastically to 5 msec (quarter period cycle time). The comparisons are made with DWT and the combined approach of DWT and ANN. It is seen that using combined approach, performance is better as compared to DWT alone. The process starts with DWT processor to find spectral energy (SE) of each phase current. The differential spectral energy (DSE) is computed using the difference value of SE at both end of the line. The computed DSE value obtained from DWT is fed to ANN fault detector to register the fault pattern. Further it is trained and tested with different parameter variation of the line to obtain fault detection time.
Keywords: artificial neural network; ANN; differential spectral energy; DSE; UPFC; unified power flow controller; wind; discrete wavelet transform; DWT.
International Journal of Computational Systems Engineering, 2019 Vol.5 No.5/6, pp.287 - 303
Received: 22 Jun 2018
Accepted: 08 Dec 2018
Published online: 15 Nov 2019 *