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NEURAL NETWORK AND FUZZY LOGIC BASED CONTROLLER FOR TRANSFORMER PROTECTION
Vikramsingh R. Parihar, Manisha Thakare, Sagar D. Nimkar, Roshani S. Nage, Anagha P. Dhote

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-9, pp.33-38, Sep 2017
DPI :-> 16.10046.IJCESR.2017.V4I9.3338.1928



Abstract
One of the most powerful and efficient techniques of analyzing transient voltage and current signals is wavelet transform. 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 equipment. Usually, various techniques are used in power transformer protection. This paper offered novel control technique for transformer protection. This protection approach is based on extracting the fundamental components present in differential currents. The neural network based fuzzy logic controller is used to design protection relay for transformer. The simulation is done by MATLAB/SIMULINK software and results are revealed clearly in this paper.

Key-Words / Index Term
Fast Fourier transform, wavelet transform, artificial neural network, fuzzy logic controller

How to cite this article
Vikramsingh R. Parihar, Manisha Thakare, Sagar D. Nimkar, Roshani S. Nage, Anagha P. Dhote , “NEURAL NETWORK AND FUZZY LOGIC BASED CONTROLLER FOR TRANSFORMER PROTECTION”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-9, pp.33-38, Sep 2017. DPI:16.10046.IJCESR.V4.I9.1928