A fuzzy relation based fault section diagnosis method for power systems using operating sequences of protective devices

Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

Volumn 2, Issue SUMMER, 2001, Pages 933-938

  Min, Sang Won ^a   Park, Jong Keun ^a   Kim, Kwang Ho ^b   Cho, In Ho ^c   Lee, Heung Jae ^d  

^a Seoul National University   (South Korea)

^b Kangwon National University   (South Korea)

^c LG Electronics Inc   (South Korea)

^d Kwangwoon University   (South Korea)

Author keywords

Expert system; Fault section diagnosis; Fuzzy relation

Indexed keywords

COMPUTER SIMULATION; ELECTRIC CIRCUIT BREAKERS; ELECTRIC POWER SYSTEMS; FAILURE ANALYSIS; FUZZY SETS; INFERENCE ENGINES; MEMBERSHIP FUNCTIONS; RELAY PROTECTION;

FAULT SECTION DIAGNOSIS; FUZZY RELATION; SAGITTAL DIAGRAMS;

ELECTRIC FAULT LOCATION;

EID: 0035792743     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. D Fukui and J. Kawakame, "An expert system for fault section estimation using information from protective relays and circuit breakers," IEEE Trans Power Delivery, (4), January 1986, pp 83-90
2. Eleri Cardozo and Sarosh N. Talukdar, "A distributed expert system for fault diagnosis," IEEE Trans. Power System, Vol 3, No.2, May 1988, pp 641-646.
3. K Komai, K. Matsumoto, and T. Sakaguchi, "A diagnostic application specific expert systems shell for network fault diagnosis," Electrical Power & Energy Systems, 14, (2/3), 1992, pp. 217-224.
4. Y. M. Park, G. W. Kim, and J. M. Sohn, "A logic based expert system (LBES) for fault diagnosis of power system," IEEE Trans. Power System, vol. 12, no. 1, February pp. 363-369.
5. Y. Sekine, H. Okamoto, and T. Shibamoto, "Fault Section Estimation Using Cause-Effect Network," Proceedings of 2nd Symposium on Expert System Application to Power Systems, July 1989, pp 277-282.
6. C Yang, H.Okamoto, A. Yokoyama, and Y Sekine, "Expert System for Fault Section Estimation of Power Systems Using Time Sequence Information," Proceedings of 3rd Symposium on Expert System Application to Power Systems, April 1991, pp. 587-594.
7. K H. Kim and J K. Park, "Application of hierarchical neural networks to fault diagnosis of power systems," Electrical Power & Energy Systems, vol.15, no.2, 1993, pp.65-70
8. Z. E. Aygen, S. Seker, and M. Bagriyanik, "Fault section estimation in electrical power systems using artificial neural network approach," Transmission and Distribution Conference, 1999 IEEE, vol 2, pp. 466-469
9. X Wang and T. Dillon, "A second generation expert system for fault diagnosis," Electrical Power & Energy Systems, 14, (2/3), 1992, pp.212-216
10. C. Yang, A Uokoyama, and Y. Sekine, "Fault section estimation of power system using color time petri nets," Proceedings of Expert System Application to Power Systems, 1993, pp.321-326.
11. F. S. Wen and C. S. Chang, "A new approach to fault section estimation in power systems based on the set covering theory and a refined genetic algorithm," Proceedings of 12th Power System Computation Conference, vol. 1, 1996, pp 358-365
12. F S Wen and C S Chang, "A probabilistic approach for fault section estimation in power systems," IEE Proceedings Generation, Transmission and Distribution, vol. 144, no. 2, 1997, pp 160-168
13. C S Chang, J M Chen, D Srinivasan, F. S Wen, and A. C Liew, "Fuzzy logic approach in power system fault section identification," IEE Proceedings Generation, Transmission and Distribution, vol.144, no 5, 1997, pp.406-414.
14. H. J. Cho and J. K. Park, "An expert system for fault section diagnosis of power systems using fuzzy relations," IEEE Trans. Power Systems, vol.12, no. 1, February 1997, pp.342-348.
15. G. J. Klir and T. A. Folger, Fuzzy Sets, Uncertainty, and Information, 1988, Prentice Hall.