A new fault diagnosis approach of power grid based on cooperative expert system and multi-agent technology

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 26, Issue 20, 2006, Pages 1-8

  Zhao, Wei ^a   Bai, Xiao Min ^a   Ding, Jian ^a   Fang, Zhu ^a   Li, Zai Hua ^a  

^a CHINA ELECTRIC POWER RESEARCH INSTITUTE   (China)

Author keywords

Cooperative expert systems; Fault diagnosis; Multi agent; Power system

Indexed keywords

ELECTRIC POWER SYSTEMS; MULTI AGENT SYSTEMS;

COOPERATIVE EXPERT SYSTEMS; FAULT DIAGNOSIS; POWER GRID; POWER SYSTEM; REAL TIME;

EXPERT SYSTEMS;

EID: 33845540714     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Young Moon Park, Gwang Won Kim, Jin Man Sohn. A logic based expert system (LBES) for fault diagnosis of power system [J]. IEEE Trans. on Power Systems, 1997, 12 (1): 363-369.
2. He Y H, Han S M, Cheng S M. Development of fault diagnosis system based on multi-neural network jointed inference [J]. Proceedings of the CSEE, 1999, 19 (12): 57-60, 65 (in Chinese).
3. Wen Fushuan, Han Zhenxiang. Fault section estimation in power systems using genetic algorithm and simulated annealing [J]. Proceedings of the CSEE, 1994, 14 (3): 29-35 (in Chinese).
4. Lee H J, Park D Y, Ahn B S, et al. A fuzzy expert system for the integrated fault diagnosis [J]. IEEE Trans. on Power Delivery, 2000, 15 (2): 833-838.
5. Tang L, Sun H B, Zhang B M, et al. Online fault diagnosis in distribution line based on rough set theory [J]. Proceedings of the CSEE, 2003, 23 (7): 5-11 (in Chinese).
6. Shu Hongchun, Sun Xiangfei, Si Dajun, et al. A study of fault diagnosis in distribution line based on rough set theory [J]. Proceedings of the CSEE, 2001, 21 (10): 78-82 (in Chinese).
7. Bi Tianshu, Ni Yixin, Yang Qixun. An evaluation of artificial intelligent technologies for fault diagnosis in power network [J]. Automation of Electric Power Systems, 2000, 24 (2): 11-16 (in Chinese).
8. Liu S L, Ke J, Su B K. Synergetic expert system and its application in fault diagnosis for three-axis turn table [J]. Journal of Chinese Inertial Technology, 2000, 8 (4): 102-106 (in Chinese).
9. Teive R C G, Silva E L, Fonseca L G S. A cooperative expert system for transmission expansion of electrical power systems [J]. IEEE Trans. on Power Delivery, 1998, 13 (2): 636-642.
10. Stuart Russell, Peter Norvig. Artificial intelligence: A modern approach (Second Edition) [M]. New York: Pearson Education Inc, 2004.
11. McArthur S D, Davidson E M, Hossack J A, et al. Automating power system fault diagnosis through Multi-agent system [C]. Proceedings of the 37th Annual Hawaii International Conference on System Sciences, USA, 2004.
12. Jennings N R, Wittig T. Archon: Theory and practice, in distributed artificial intelligence: theory and praxis [M]. Dordrecht: Kluwer Academic Press, 1992.
13. Carreras B A, Lynch V E, Newman D E, et al. Blackout mitigation assessment in power transmission systems [C]. 36th Hawaii International Conference on System Sciences, Maui, Hawaii, 2003.
14. Wu Xin, Guo Chuangxin, Cao Yijia. A new fault diagnosis approach of power system based on Bayesian network and temporal order information [J]. Proceedings of the CSEE, 2005, 25 (13): 14-18 (in Chinese).