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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-article-BPS3-0025-0066

Czasopismo

Przegląd Elektrotechniczny

Tytuł artykułu

A Novel Protective Scheme for Double Circuit Transmission Line Based on Modular Neural Network of Combined Structure

Autorzy Megahed, A  Abou-Ghazala, A.  Hanafy, M. 
Treść / Zawartość http://pe.org.pl/
Warianty tytułu
PL Nowa metoda zabezpieczenia dwuobwodowej sieci przesyłowej bazująca na modularnej sieci neuronowej
Języki publikacji EN
Abstrakty
EN A novel application of neural network approach to protection of double circuit transmission line is demonstrated in this paper, to enhance the solution of problems associated with distance protection of parallel transmission lines. Concept of modularity is applied to the neural network structure to reduce its complexity and processing time. Results of performance evaluation studies show that the proposed modular neural networkbased relay can improve the performance of conventional protection algorithms.
PL W artykule opisano wykorzystanie sieci neuronowych do zabezpieczenia linii przesyłowej. Dla zmniejszenia złożoności układu przy dużych odległościach zaproponowano modularną strukturę sieci neuronowej. (Nowa metoda zabezpieczenia dwuobwodowej sieci przesyłowej bazująca na modularnej sieci neuronowej)
Słowa kluczowe
PL linia przesyłowa   zabezpieczenie   sieć neuronowa  
EN double circuit transmission lines   Modular Neural Network   Distance Protection Relays  
Wydawca Wydawnictwo SIGMA-NOT
Czasopismo Przegląd Elektrotechniczny
Rocznik 2012
Tom R. 88, nr 10a
Strony 233--237
Opis fizyczny Bibliogr. 20 poz., rys.
Twórcy
autor Megahed, A
autor Abou-Ghazala, A.
autor Hanafy, M.
Bibliografia
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[9] R.K. Aggarwal, Q.Y. Xuan, R.W. Dunn, A.T. Johns and A. Bennett, “A novel fault classification technique for double-circuit lines based on a combined unsupervised/supervised neural network”, IEEE Trans. on Power Delivery, vol. 14, no. 4, pp. 1250-1256, October 1999.
[10] V.S.Vankayala and N.D.Rao, "Artificial NNs and their application to power systems a bibliographical survey", International Journal of Electrical Power System Research, vo1. 28, pp. 67-79, 1993.
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[13] R.K. Aggarwal, Q.Y. Xuan, R.W. Dunn, A.T. Johns and A. Bennett, “A novel fault classification technique for double-circuit lines based on a combined unsupervised/supervised neural network”, IEEE Trans. on Power Delivery, vol. 14, no. 4, pp. 1250-1256, October 1999.
[14] B. L. Lu and M. Ito, “Task decomposition and module combination based on class relations: A modular neural network for pattern classification,” IEEE Trans. Neural Netw., vol. 10, no. 5, pp. 1224–1255, September 1999.
[15] Uttama Lahiri, A.K. Pradhan and S. Mukhopadhyaya, “Modular neural network-based directional relay for transmission line protection”, IEEE Trans. on Power Systems, vol. 20, no. 4, pp. 2154-2155, November 2005.
[16] S, Haykin, “Neural Networks”, IEEE Press, New York, 1994.
[17] K. R. Cho and et. Al, “An ANN based approach to improve the speed of a differential equation based distance relaying algorithm”, IEEE Trans. on Power Delivery, vol. 14, pp. 349-357, April 1999.
[18] Z. Chen, J. C. Mauri, “Artificial neural network approach to single-ended fault locator for transmission lines”, Proceedings of Power Industry Computer Application Conference, PICA’97, Columbus, pp. 125-131, May 1997.
[19] W.D. Stanley, Digital signal processing, Reston Publishing Co. Inc., Reston, Virginia, 1975.
[20] H.C.Andrews, Introduction to Mathematical Techniques in Pattern Recognition, John Wiley & Sons Inc., 1972.
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