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Fuzzy Logic based Controller for Power Transformer Protection
Abstract
Power transformers are imperative elements of power system. So it is substantial to evade any mal-operation of required protective system. For many years, differential protection has been used as the primary protection of power systems. It comprises the differential relay, which operate for all internal fault types of power transformer and block due to inrush current. The major disadvantage of the branch of differential protection relays, its potential malfunction resulting from transient inrush current that flows when the transformer is energized. This paper presents a novel technique of relaying algorithm which enhances the fault detection methodology of the orthodox techniques by using fuzzy logic. The proposed relaying technique depends on the principle of harmonic-current restraint. In this method the magnetizing-inrush current is categorized by large 2nd harmonic contents.
References
Vikramsingh R. Parihar, et.al “Neural Network and Fuzzy Logic Based Controller for Transformer Protection” International Journal of Current Engineering and Scientific Research (IJCESR), Volume-4, Issue-9, 2017.
Vikramsingh R. Parihar, et.al “Power Transformer Protection using Fuzzy Logic based Controller” International Journal of Engineering Research (IJER), Volume No.6, Issue No.7, pp : 366-370, 2017
Vikramsingh R. Parihar, et.al, “Power Transformer Fault Protection using Artificial Neural Network, Journal of Electrical and Power System Engineering, MAT Journals, Volume 3, Issue 3, 2017.
Russell M. C, “The Art and Science of Protective Relaying”, 2002.
Wiszniewski A. and Kasztenny B, “A multi-criteria differential transformer relay based on fuzzy logic,” IEEE Trans. Power Delivery, vol.10, pp. 1786–1792, Oct. 1995.
Mendel J. M., “Fuzzy Logic Systems for Engineering: A Tutorial“, Proc. of the IEEE, vol. 83,No. 3, pp. 345-377, 1995
Aziz A. A, Ali A. A. and Abbas A. H. “Power Transformer Protection by Using Fuzzy Logic”, IEEE Trans. Power Delivery, Vol.5 No.1 , 2009
Tripathy M, Maheshwari R. P, and Verma H. K., “Improved transformer protection using probabilistic neural network and power differential method”, International Journal of Engineering, Science and Technology Vol. 2, No. 3, pp.29-44, 2010
Dey P., Das P. and Chakrabothy A. K., “Implementation of Power Transformer Differential Protection Based on Clarke’s
Transform and Fuzzy Systems”, International Journal of Engineering Research & Technology (IJERT) Vol. 1 Issue7, Sept. 2012
Khorashadi-zadeh H. and Aghaebrahimi M. R., “A neurofuzzy technique for discrimination between internal faults and magnetizing inrush currents in transformers”, Iranian Journal of Fuzzy Systems Vol. 2, No. 2, pp. 45-57, 2005
Kasztenny B. and Kezunovic M., “Improved power transformer protection using numerical relays”, 2001
Winders J. J. (jr), “Power Transformers Principles and Applications “ 2002
Dong X., “Study of Power Transformer Abnormalities and IT Applications in Power Systems”, January, 2002
“Tutorial on Fuzzy Logic Applications in Power Systems”, IEEE-PES Winter Meeting in Singapore, January, 2000
Anderson P. M., “Power System Protection”, Piscataway, NJ: IEEE Press, 1999.
Zadeh L. A., (1965), “Fuzzy Sets”, Journal of Information and Control, Vol 8, pp 338-353, USA.
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