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Fault Zone Detection on Advanced Series Compensated Transmission Line using Discrete Wavelet Transform and SVM
Abstract:In this paper a novel method for finding the fault zone on a Thyristor Controlled Series Capacitor (TCSC) incorporated transmission line is presented. The method makes use of the Support Vector Machine (SVM), used in the classification mode to distinguish between the zones, before or after the TCSC. The use of Discrete Wavelet Transform is made to prepare the features which would be given as the input to the SVM. This method was tested on a 400 kV, 50 Hz, 300 Km transmission line and the results were highly accurate.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075537Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1565
 Y. H. Song, A. T. Johns, Q. Y. Xuan, "Artificial neural-network based protection scheme for controllable series-compensated EHV transmission line", Proc. Inst. Elect. Eng.-Gener. Transm. Distrib., vol. 143, no. 6, pp. 535-540, Nov. 1996.
 B. Kasztenny,"Distance protection of series compensated lines- problems and solutions,"Proc. 28th Annu. Western Protective Relay Conf., Spokane, WA, Oct. 22-25,2001,pp.1-36.
 D. Nvosel, A. Phadke, M. M. Saha, and S. Lindhal, "Problems and solutions for microprocessor protection of series compensated lines," Proc. 6th Inf. Conf. Developments in Power System Protection, Mar. 25-27, 1997, pp. 18-23, Conf Pub No. 434.
 D. W. P. Thomas and C. Christopulos, "Ultra-high speed protection of series compensated lines," IEEE Trans. Power Del., vol. 7, no. 1, pp. 139-145, Jan. 1992.
 P.K. Dash, S.R. Samantray, and Ganapati Panda, "Fault Classification and Section Identification of an Advanced Series- Compensated Transmission Line Using Support Vector Machine", IEEE Trans. on Power Del., vol. 22, no. 1, pp. 67-73, Jan 2007.
 Urmil B. Parikh, Biswarup Das, Rudra Pratap Maheshwari,"Comnined Wavelet-SVM Technique for Fault Zone Detection in a Series Compensated Transmission Line," IEEE Trans. Power Del., vol. 23, no. 4, Oct 2008.
 S. R. Samantaray ," Decision tree-based fault zone identification and fault classification in flexible AC transmissions-based transmission line,"IET Gener. Transm. Distrib.,vol. 3, Iss.5, pp. 425-436, 2009.
 Vladimir N. Vapnik, "An Overview of Statistical Learning Theory", IEEE Transactions on Neural Networks, vol. 10, no.5, pp 988-999 , Sept. 1999
 C. Cortes and V. Vapnik, "Support Vector Networks", Int. Proceedings of Machine Learning, vol. 20, no. 3, pp 273- 297, 1995
 V. Vapnik, The Nature of Statistical Learning Theory, Springer, 1995.
 C. C. Burges, "A tutorial on support vector machines for pattern recognition", In Proceedings of Int. Conference on Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121-167, 1998.
 "PSCAD/EMTDC Power Systems Simulation Manual", 1997, Winnipeg, MB, Canada.
 Chang C. C. and Chin J. L., LIBSVM:A library for Support Vector Machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.