A.Y. Abdelaziz; Amr M. Ibrahim

A Hybrid Wavelet-ANN-Based Protection Scheme for FACTS Compensated Transmission Lines

Full Text (PDF, 536KB), PP.23-31

Views: 0 Downloads: 0

Author(s)

A.Y. Abdelaziz ^1,* Amr M. Ibrahim ¹

1. Electrical Power and Machines Department, Ain Shams University, Cario, Egypt

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2013.07.04

Received: 6 Aug. 2012 / Revised: 22 Dec. 2012 / Accepted: 26 Feb. 2013 / Published: 8 Jun. 2013

Index Terms

Neural Network, Discrete Wavelet Transform, Distance Protection, FACTS, Fault Detection & Classification

Abstract

This paper proposes an approach for the protection of transmission lines with FACTS based on Artificial Neural Networks (ANN) using Wavelet Transform (WT). The required features for the proposed algorithm are extracted from the measured transient current and voltage waveforms using discrete wavelet transform (DWT). Those features are employed for fault detection and faulted phase selection using ANN. The type of FACTS compensated transmission lines is the Thyristor-Controlled Series Capacitor (TCSC). System simulation and test results indicate the feasibility of using neural networks using wavelet transforms in the fault detection, classification and faulted phase selection of FACTS compensated transmission lines.

Cite This Paper

A.Y. Abdelaziz, Amr M. Ibrahim, "A Hybrid Wavelet-ANN-Based Protection Scheme for FACTS Compensated Transmission Lines", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.7, pp.23-31, 2013. DOI:10.5815/ijisa.2013.07.04

Reference

[1]N. G. Hingorani and L. Gyugyi. Understanding FACTS: concepts and technology of flexible AC transmission systems. New York: IEEE Press, 2000.

[2]R. K. Varma and R. M. Mathur. Thyristor-Based Facts Controller for Electric Transmission Systems. John Wiley/IEEE Press, Feb. 2002.

[3]L. Gyugyi. Converter-based FACTS controllers. IEE Colloq. Flexible AC Transmission Systems-The FACTS, pp. 1/1–1/111, Nov. 23, 1998.

[4]P. Moore and P. Ashmole. Flexible AC transmission systems. IEE Power Eng. J., vol. 9, no. 6, pp. 282–286, Dec. 1995.

[5]P. Moore and P. Ashmole. Flexible AC transmission systems II: Methods of transmission line compensation. IEE Power Eng. J., vol. 10, no. 6, pp. 273–278, Dec. 1996.

[6]P. Moore and P. Ashmole. Flexible AC transmission systems III: Conventional FACTS controllers. IEE Power Eng. J., vol. 11, no. 4, pp. 177–183, Aug. 1997.

[7]P. Moore and P. Ashmole. Flexible AC transmission systems IV: Advanced FACTS controllers. IEE Power Eng. J., vol. 12, no. 2, pp. 95–100, Apr. 1998.

[8]IEEE Guide for a Detailed Functional Specification and Application of Static VAR Compensators. IEEE standard 1031, 1992.

[9]Network Protection and Automation Guide. 3rd Ed., Alstom, 2002.

[10]A. A. Girgis, A. A. Sallam and A. K. El-din. An adaptive protection scheme foe advanced series compensated (ASC) transmission line. IEEE Trans. Power delivery, vol. 13, no. 1, pp. 414–420, Apr. 1998.

[11]K. El-Arroudi, J. Joos and D. T. McGillis. Operation of impedance protection relays with the STATCOM. IEEE Trans. Power delivery, vol. 17, no. 2, pp. 381–387, Apr. 2002.

[12]D. Novosel, A. Phadke, M. M. Saha and S. Lindahl, “Problems and solutions for microprocessor protection of series compensated lines,” Proc. IEE Developments Power system Protection Conf., pp. 18–23, Mar. 25–27, 1997.

[13]B. Bachmann, D. Novosel, D. Hart, Y. Hu and M. M. Saha. Application of artificial neural networks for series compensated line protection. Proc. Int. Conf. Intelligent systems Applications to Power Systems, pp. 68–73, 1996.

[14]P. K. Dash, A. K. Pradhan, G. Panda and A. C. Liew, “Digital protection of power transmission lines in the presence of series connected FACTS devices,” Proc. IEEE PES Winter Meeting, vol. 3, pp. 1967–1972, Jan. 23–27, 2000.

[15]W. Wang, Y. Xianggen, Y. Jiang, D. Xianzhong and C. Deshu. The impact of TCSC on distance protection relay. Proc. Int. Conf. Power System technology, vol. 1, pp. 382–388, Aug. 18–21, 1998.

[16]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. Elect. Mach. Power Syst., vol. 25, pp. 553–565, 1997.

[17]A. M. Ibrahim, M. I. Marei, M. M. Mansour and S. F. Mekhamer. 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, Vol. 39, No. 1, pp. 64 – 79, 2011.

[18]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. Transm. Distrib., vol. 143, no. 6, pp. 535–540, 1996.

[19]M. Khederzadeh. The impact of FACTS device on digital multifunctional protective relays. Proc. IEEE Transmission and Distribution Conf., vol. 3, pp. 2043–2048, Oct. 6–10, 2002.

[20]P. Makming, S. Bunjongjit, A. Kunakorn, S. Jiriwibhakorn and M. Kando. Fault Diagnosis in Transmission Lines Using Wavelet Transform Analysis. IEEE Transmission and Distribution Conference and Exhibition, pp. 2246-2250, 2002.

[21]C. Hong and S. Elangovan. A B-Spline Wavelet Based Classification Scheme for High Speed Protection Relaying. Electric Machines and Power Systems, Taylor&Francis, vol. 28, pp. 313-324, 2000.

[22]P. Kalpana and K. Gunavathi. Wavelet based fault detection in analog VLSI circuits using neural networks. Applied Soft Computing, vol. 8, issue 4, pp. 1592-1598, September 2008.

[23]A. Chatterjee, M. Maitra, and S. Goswami. Classification of overcurrent and inrush current for power system reliability using Slantlet transform and artificial neural network. Expert Systems with Applications, Elsevier Publishers, vol. 36, issue 2, part 1, pp. 2391-2399, March 2009.

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

International Journal of Intelligent Systems and Applications (IJISA)