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M.Tech / M.E / PhD Thesis | Electrical Engineering | India | Volume 5 Issue 4, April 2016
Power Transformer Control by Neuro Fuzzy Controller and Haar Wavelet Transform
Mohammed Faisal M. Wafeek | Ch. Punya Sekhar [2]
Abstract: Wavelet transforms are fast and efficient means of analyzing transient voltage and current signals. Compare with fast Fourier transform, wavelet transform gives better results in analyzing signals containing sharp spikes. Differential protection schemes are widely used by electric companies to protect power equipments. Normally, various techniques are used in power transformer protection. This paper proposed novel control technique for transformer protection. This protection approach is based on extracting the fundamental components present in differential currents. This paper aims to prove that the Wavelet Transform is a reliable and computationally efficient tool for fault currents. The aneural network based fuzzy logic controller is used to design protection relay for transformer. The simulation is done by MATLAB/SIMULINK software and results are shown clearly in this paper.
Keywords: Fast Fourier transform, wavelet transform, artificial neural network and fuzzy logic controller
Edition: Volume 5 Issue 4, April 2016,
Pages: 947 - 951
Similar Articles with Keyword 'Fast Fourier transform'
Downloads: 113
Research Paper, Electrical Engineering, India, Volume 3 Issue 5, May 2014
Pages: 535 - 542Improvement of Voltage Profile By 84-Pulse VSC Configuration Using Multi-Level Converter Using STATCOM
K. V. Soumya | P. Gayathri [2]
Downloads: 129
Research Paper, Electrical Engineering, Nigeria, Volume 7 Issue 10, October 2018
Pages: 1179 - 1186Investigation of Broken Rotor Bar Fault in Field Oriented Controlled Induction Motor Using Discrete Wavelent Transform
Iwunze Nnadozie | Izuegbunam Fabian I [2] | AkwukwaegbuIsdore O