Artificial neural network and support vector machine approach for locating faults in radial distribution systems

IEEE Transactions on Power Delivery

Volumn 20, Issue 2 I, 2005, Pages 710-721

  Thukaram, D ^a   Khincha, H P ^a   Vijaynarasimha, H P ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Artificial neural network; Distribution systems; Fault location; Support vector machines

Indexed keywords

ELECTRIC CIRCUIT BREAKERS; ELECTRIC FAULT LOCATION; ELECTRIC POWER DISTRIBUTION; ELECTRIC RELAYS; ELECTRIC SUBSTATIONS; FEEDFORWARD NEURAL NETWORKS; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

FAULT DIAGNOSIS; RADIAL DISTRIBUTION SYSTEMS; SUPPORT VECTOR MACHINES;

ELECTRIC POWER SYSTEMS;

EID: 17844365596     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2005.844307     Document Type: Article

References (24)

1. Supply Restoration in Power Distribution Systems - A Benchmark for Planning Under Uncertainty (1996). [Online]. Available: http://discus.anu.edu.au/~thiebaux/benchmarks/pds/
2. D. Shirmohammadi, W. H. E. Liu, K. C. Lau, and H. W. Hong, "Distribution automation system with real-time analysis tools," IEEE Computer Applictions Power, vol. 9, no. 2, pp. 31-35, Apr. 1996.
3. C. N. Lu, M. T. Tsay, and Y. J. Hwang, "An artificial neural network based trouble call analysis," IEEE Trans. Power Delivery, vol. 9, pp. 1663-1668, Jul. 1994.
4. J. Zhu, D. L. Lubkeman, and A. A. Girgis, "Automated fault location and diagnosis on electric power distribution feeders," IEEE Trans. Power Delivery, vol. 12, no. 2, pp. 801-809, Apr. 1997.
5. R. Das, M. S. Sachdev, and T. S. Sidhu, "A fault locator for radial sub-transmission and distribution lines," in Proc. IEEE PES SM, vol. 1, Seattle, WA, Jul. 2000, pp. 443-448.
6. G. K. Purushothama, A. U. Narendranath, D. Thukaram, and K. Parthasarathy, "ANN applications in fault locators," Elect. Power Syst. Res., vol. 23, no. 6, pp. 491-506, Aug. 2001.
7. C. L. Yang, H. Okamoto, A. Yokoyama, and Y. Sekine, "Expert system for fault section estimation of power system using time sequence information," Elect. Power Energy Syst., vol. 14, no. 2, pp. 225-232, 1992.
8. T. Dillon and D. Niebur, "Tutorial on artificial neural networks for power systems," Eng. Intell. Syst., vol. 7, no. 1, pp. 3-17, Mar. 1999.
9. H. J. Lee, D. Y. Park, B. S. Ahn, Y. M. Park, and S. S. Venkata, "A fuzzy expert system for the integrated fault diagnosis," IEEE Trans. Power Delivery, vol. 15, no. 2, pp. 833-838, 2000.
10. T. S. Bi, Y. X. Ni, C. M. Shen, F. F. Wu, and Q. X. Yang, "A novel radial basis function neural network for fault section estimation in transmission network," in Proc. 5th Int. Conf. Adv. in Power System Ctrl., Oprn. and Mgmt., vol. 1, Hong Kong, 2000, pp. 259-263.
11. H.-T. Yang, W.-Y. Chang, and C.-L. Huang, "A new neural networks approach to on-line fault section estimation using information of protective relays and circuit breakers," IEEE Trans. Power Delivery vol. 9, no. 1, pp. 220-230, Jan. 1994.
12. E. J. Bredensteiner and K. P. Bennett, "Multi category classification by support vector machines," Computational Optimizations and Applications, 1999.
13. C.-W. Hsu and C.-J. Lin, A comparison of methods for Multi-class support vector machines., http://www.csie.ntu.edu.tw/~cjlin/papers.
14. K.-R. Muller, S. Mika, G. Ratsch, K. Tsuda, and B. Schölkopf, "An introduction to kernel-based learning algorithms," IEEE Trans. Neural Networks, vol. 12, no. 2, pp. 181-201, Mar. 2001.
15. E. K. Blum and L. K. Li, "Approximation theory and feedforward networks," Neural Networks, vol. 4, pp. 511-515, 1991.
16. K. S. Narendra and K. Parthasarathy, "Identification and control of dynamic systems using neural networks," IEEE Trans. Neural Networks vol. 1, pp. 4-27, 1990.
17. M. T. Hagan and M. Menhaj, "Training feedforward networks with the Marquardt algorithm," IEEE Trans. Neural Networks, vol. 5, pp. 989-993, Nov. 1994.
18. C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining Knowl. Disc., vol. 2, no. 2, 1998.
19. B. D. Ripley, "Neural networks and related methods for classification," J. R. Stat. Soc. B, vol. 56, pp. 409-456, 1994.
20. L. Kaufmann, "Solving the quadratic programming problem arising in support vector classification," in Adv. in Kernel Methods: Support Vector Machines, B. Schölkopf, C. Burges, and A. Smola, Eds. Cambridge, MA: MIT Press, Dec. 1998.
21. J. C. Platt, "Fast training of support vector machines using sequential minimal optimization," in Adv. in Kernel Methods: Support Vector Machines, B. Schölkopf, C. Burges, and A. Smola, Eds. Cambridge, MA: MIT Press, Dec. 1998.
22. R. Fletcher, Practical Methods of Optimization. New York: Wiley, 2000.
23. J. C. Mishra, Ed., Computing and Information Sciences: Recent Trends New Delhi, India: Narosa Publishing House, 2003.
24. S. Haykin, Neural Networks: A Comprehensive Foundation, Singapore: Pearson, 1999.