A fault diagnosis and operation advising cooperative expert system based on multi-agent technology
Power Plants and Power Systems Control, Volume # 5 | Part# 1
Zhao, Wei; Bai, Xiaomin; Ding, Jian; Fang, Zhu; Li, Zaihua
Digital Object Identifier (DOI)
expert systems,fault diagnosis,power systems,agents
In this paper, a new fault diagnosis and operational processing approach based on cooperative expert system combining with multi-agent architecture is proposed. For solving the complex and correlative faults, the cooperative expert system can overcome the deficient of single expert system. It can be used not only for diagnosing complex fault in real time but also giving operation advice timely. It introduces the agent technology, designation of the cooperative expert system combining with multi-agent architecture, the realization of the system and application case.
 Fukui C., Kawakami J. (1986). An expert system for fault section estimation using information from protective relays and circuit breakers. IEEE Trans. On Power Delivery, Vol. 1, No. 4, 83-91  Young M. P., Gwang-Won Kim, Jin-Man Sohn (1997). A logic based expert system(LBES) for fault diagnosis of power system. IEEE Trans. On Power Systems, 12(1), 363-369  Bi T S, Ni Y X, Yang Q X (2000). An evaluation of artificial intelligent technologies for fault diagnosis in power network. Automation of Electric Power Systems, Vol. 24, No. 2, 11-16  He Y H, Han S M, Cheng S M(1999). Development of fault diagnosis based on multi-neural network joined inference. Proceeding of the CSEE, 19(12), 57-60, 65  Bi T S, Ni T X, Wu F L et al. (2002). A novel neural network approach for fault section estimation. Proceeding of the CSEE, 22(2), 73-78  Wen F S, Han Z X (1994). Fault section estimation in power system using genetic algorithm and simulated annealing. Proceeding of the CSEE, 14(3), 29-35  Lee H J, Park D Y, Ahn B S et al. (2000). A fuzzy expert system for the integrated fault diagnosis. IEEE Trans, Power Delivery, 15(2), 833-838  Tang L, Sun H B, Zhang B M et al.(2003). Online fault diagnosis for power system based on information theory. Proceeding of the CSEE, 23(7), 5-11  Shu H C, Sun X F, Si D J et al.(2001). A study of fault diagnosis in distribution line based on rough set theory. Proceeding of the CSEE, 21(10), 5-11