Best ANN structures for fault location in single- and double-circuit transmission lines

IEEE Transactions on Power Delivery

Volumn 20, Issue 4, 2005, Pages 2389-2395

  Gracia, J ^a   Mazon A J ^b   Zamora, I ^b  

^a Government of the Autonomous Community of Aragon   (Spain)

^b UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Artificial neural networks (ANNs); Fault classification; Fault location; Learning vector quantization; Multilayer perceptron

Indexed keywords

ELECTRIC FAULT CURRENTS; ELECTRIC FAULT LOCATION; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; VECTOR QUANTIZATION;

DOUBLE CIRCUIT TRANSMISSION LINE; FAULT CLASSIFICATION; LEARNING VECTOR QUANTIZATION; SINGLE CIRCUIT TRANSMISSION LINE;

OVERHEAD LINES;

EID: 27844461149     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2005.855482     Document Type: Article

References (17)

1. A. K. Pradhan, P. K. Dash, and G. Panda, "A fast and accurate distance relaying scheme using an efficient radial basis function neural network," Elect. Power Syst. Res.., vol. 60, pp. 1-8, 2001.
2. S. Vasilic and M. Kezunovic, "New design of a neural network algorithm for detecting and classifying the transmission line faults," in Proc. IEEE Power Engineering Soc. Transmission Distribution Conf., Atlanta, GA, Oct. 2001.
3. F. Zahra, B. Jeyasurya, and J. E. Quaicoe, "High-speed transmission line relaying using artificial neural networks," Elect. Power Syst. Res., vol. 53, pp. 173-179, 2000.
4. S. A. Khaparde, N. Warke, and S. H. Agarwal, "An adaptive approach in distance protection using an artificial neural network," Elect. Power Syst. Res., vol. 37, pp. 39-44, 1996.
5. Y. H. Song, Q. X. Xuan, and A. T. Johns, "Comparison studies of five neural network based fault classifiers for complex transmission lines," Elect. Power Syst. Res.., vol. 43, pp. 125-132, 1997.
6. R. K. Aggarwal, Q. Y. Xuan, and R. W. Dunn, "A novel fault classification technique for double circuit lines based on a combined unsupervised/supervised neural network," IEEE Trans. Power Del., vol. 14, no. 4, pp. 1250-1256, Oct. 1999.
7. W. M. Lin, C. H. Yang, J. H. Lin, and M. T. Tsay, "A fault classification method by RBF neural network with OLS learning procedure," IEEE Trans. Power Del., vol. 16, no. 4, pp. 473-477, Oct. 2001.
8. M. Kezunovic, S. Vasilic, and F. Gul-Bagriyanik, "Advanced approaches for detecting and diagnosing transients and faults," in Med. Power, Athens, Greece, Nov. 2002.
9. S. Vasilic and M. Kezunovic, "An improved neural network algorithm for classifying the transmission line faults," in Proc. IEEE Power Eng. Soc. Winter Meeting, Jan. 2002.
10. R. K. Aggarwal, M. Joorabian, and Y. H. Song, "Fuzzy neural network approach to accurate transmission line fault location," Eng. Intell. Syst., vol. 5, no. 4, pp. 251-258, Dec. 1997.
11. Z. Chen and J. C. Maun, "Artificial neural network approach to single-ended fault locator for transmission lines," IEEE Trans. Power Syst., vol. 15, no. 1, pp. 370-375, Feb. 2000.
12. A. J. Maźon, I. Zamora, J. F. Miñambres, M. A. Zorroźua, J. J. Barandiaŕan, and K. Sagastebeitia, "A new approach to fault location in two-terminal transmission lines using artificial neural networks," Elect. Power Syst. Res., vol. 56, pp. 261-266, 2000.
13. A. J. Mazon, I. Zamora, J. Gracia, J. Bilbao, and J. R. Saenz, "Falneur: Artificial neural network based software to fault location in electrical transmission lines," in Proc. IASTED Int. Conf. Appl. Informatics (AI2001), Innsbruck, Tyrol, Austria, Feb. 2001.
14. D. V. Coury, M. Oleskovicz, and R. K. Aggarwal, "An ANN routine for fault detection. Classification and location in transmission lines," Elect. Power Components Syst., pp. 1137-1149, Nov. 2002.
15. A. J. Mazon, I. Zamora, J. Gracia, K. J. Sagastebeitia, and J. R. Saenz, "Selecting ANN structures to find transmission faults," IEEE Comput. Appl. Power. vol. 14, no. 3, pp. 44-48, Jul. 2001.
16. M. Kezunovic et al., "Intelligent systems in protection engineering. working group C-4," in Proc. IEEE Power Engineering Soc. Power System Relaying Committee Systems Protection Subcommittee, Feb. 1999. Draft.
17. H. Demuth, Neural Network ToolBox For Use with MatLab. Natick, MA: The MathWorks, 1998.