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International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.5, No.5, Apr. 2013

Protection of Thyristor Controlled Series Compensated Transmission Lines using Support Vector Machine

Full Text (PDF, 588KB), PP.11-18


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Author(s)

A.Y. Abdelaziz, Amr M. Ibrahim

Index Terms

Fault Classification;Fault Detection;Overcurrent Protection;Distance Protection;Thyristor Controlled Series Compensated Transmission Line;Support Vector Machine

Abstract

Recently, series compensation is widely used in transmission. However, this creates several problems to conventional protection approaches. This paper presents overcurrent and distance protection schemes, for fault classification in transmission lines with thyristor controlled series capacitor (TCSC) using support vector machine (SVM). The fault classification task is divided into four separate subtasks (SVMa, SVMb, SVMc and SVMg), where the state of each phase and ground is determined by an individual SVM. The polynomial kernel SVM is designed to provide the optimal classification conditions. Wide variations of load angle, fault inception angle, fault resistance and fault location have been carried out with different types of faults using PSCAD/EMTDC program. Backward faults have also been included in the data sets. The proposed technique is tested and the results verify its fastness, accuracy and robustness.

Cite This Paper

A.Y. Abdelaziz, Amr M. Ibrahim,"Protection of Thyristor Controlled Series Compensated Transmission Lines using Support Vector Machine", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.5, pp.11-18, 2013.DOI: 10.5815/ijisa.2013.05.02

Reference

[1]P. K. Dash, S. R. Samantaray, “Phase selection and fault section identification in thyristor controlled series compensated line using discrete wavelet transform”, International Journal of Electrical Power and Energy Systems, vol. 26, pp.725-732, November 2004.

[2]A. A. Girgis, A. A. Sallam, and A. Karim El-Din, “An adaptive protection scheme for advanced series compensated (ASC) transmission lines,” IEEE Trans. Power Delivery, vol. 13, no. 2, pp. 414–420, April 1998.

[3]Y. H. Song, A. T. Johns, and Q. Y. Xuan, “Artificial Neural Network Based Protection Scheme for Controllable series-compensated EHV transmission lines”, IEE Proc. Gen. Trans. Dist., Vol. 143, No.6, pp.535-540, 1996.

[4]Y.H. Song, Q.Y. Xuan, and A.T. Johns, “Protection Scheme for EHV Transmission Systems with Thyristor Controlled Series Compensation using Radial Basis Function Neural Networks”, Electric Machines and Power Systems, pp. 553-565, 1997.

[5]U. B. Parikh, B. R. Bhalja, R. P. Maheshwari, and B. Das, “Decision tree based fault classification scheme for protection of series compensated transmission lines,” Int. J. Emerg. Electric Power Syst.: vol. 8, no. 6, pp. 1–12, Nov. 2007.

[6]O. A. S. Youssef, "Combined fuzzy-logic wavelet-based fault classification technique for power system relaying," IEEE Trans. Power Del. 19 (2) (2004) 582-592.

[7]A. K. Pradhan, A. Routray, S. Pati, D. K. Pradhan, "Wavelet fuzzy combined approach for fault classification of a series-compensated transmission line," IEEE Trans. Power Del. 19 (4) (2004) 1612-1618.

[8]H. Wang, W. W. L. Keerthipala, "Fuzzy-neuro approach to fault classification for transmission line protection," IEEE Trans. Power Del. 13 (4) (1998) 1093-1104.

[9]R.K. Aggarwal, Q.Y. Xuan, A.T. Johns, F. Li, A. Bennett, "A novel approach to fault diagnosis in multicircuit transmission lines using fuzzy ARTmap neural networks," IEEE Trans. Neural Netw. 10 (5) (1999) 1214-1221. 

[10]P. S. Bhowmik, P. Purkait, K. Bhattacharya, "A novel wavelet transform aided neural network based transmission line fault analysis method," Electr. Power Energy Syst. 31(5) (2009) 213-219.

[11]A. M. Ibrahim, M. I. Marei, S. F. Mekhamer and M. M. Mansour, "An Artificial Neural Network Based Protection Approach Using Total Least Square Estimation of Signal Parameters via the Rotational Invariance Technique for Flexible AC Transmission System Compensated Transmission Lines", Electric Power Components and Systems, 39 (1) (2011) 64 – 79.

[12]EMTDC User's Manual, Manitoba HVDC Research Center, November 1988.

[13]G. W. Swift, "The Spectra of faulted induced transients", IEEE Trans. on Power Apparatus and Systems, Vol. PAS-98, No. 3, pp. 940-947, May/June 1979. 

[14]S. Abe, Support Vector Machines for Pattern Classification. England: Springer-Verlag, London, Ltd, 2005.

[15]I. Steinwart, and A. Christmann, Support Vector Machines, New York: Springer, 2008.

[16]J. Wang, P. Neskovic, and L. N. Cooper, “Selecting data for fast support vector machines training,” Studies in Computational Intelligence, vol. 35, pp. 61–84, 2007.