Temporal abductive reasoning based diagnosis and alarm for power grid

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

Volumn 30, Issue 19, 2010, Pages 84-90

  Kang, Tai Feng ^a   Wu, Wen Chuan ^a   Zhang, Bo Ming ^a   Li, Peng ^b   Zhang, Wen Feng ^b  

^a TSINGHUA UNIVERSITY   (China)

^b ELECTRIC POWER RESEARCH INSTITUTE   (China)

Author keywords

Abductive reasoning; Fault diagnosis; Intelligent alarm; Power system; Temporal constraint

Indexed keywords

ALGORITHMS; FAILURE ANALYSIS; POWER GENERATION;

ABDUCTIVE REASONING; DIAGNOSIS PROBLEM; DOMAIN THEORY; EVOLUTION PROCESS; FAULT DIAGNOSIS; FAULT EVOLUTION; INFERENCE METHODS; LOGICAL RELATIONSHIPS; POWER GRIDS; POWER SYSTEMS; TEMPORAL CONSTRAINTS; TEMPORAL INFORMATION;

ALARM SYSTEMS;

EID: 77954803780     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. Aygen Z E, Seker S, Bagnyanik M, et al. Fault section estimation in electrical power systems using artificial neural network approach[C]. IEEE Transmission and Distribution Conference, New Orleans, USA, 1999.
2. Bi Tianshu, Ni Yixin, Wu Fuli, et al. A novel neural network approach for fault section estimation[J]. Proceedings of the CSEE, 2002, 22(2): 73-78(in Chinese).
3. Vale Z, Machadoe Moura A. An expert system with temporal reasoning for alarm processing in power system control centers[J]. IEEE Transactions on Power Systems, 1993, 8(3): 1307-1314.
4. Minakawa T, Ichikawa Y, Kunugi M, et al. Development and implementation of a power system fault diagnosis expert system[J]. IEEE Transactions on Power Systems, 1995, 10(2): 932-940.
5. Zhao Wei, Bai Xiaomin, Ding Jian, et al. A new fault diagnosis approach of power grid based on cooperative expert system and multi-agent technology[J]. Proceedings of the CSEE, 2006, 26(20): 1-8(in Chinese).
6. 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).
7. Guo Wenxin, Liao Zhiwei, Wen Fushuan, et al. An analytic model for power network fault diagnosis with the temporal information of alarm messages taken into account[J]. Automation of Electric Power Systems, 2008, 32(22): 26-31(in Chinese).
8. Tang Lei, Sun Hongbin, Zhang Boming, et al. Online fault diagnosis for power system based on information theory[J]. Proceedings of the CSEE, 2003, 23(7): 5-11(in Chinese).
9. 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).
10. Ding Jian, Bai Xiaomin, Zhao Wei, et al. Fault information analysis and diagnosis method of power system based on complex event processing technology[J]. Proceedings of the CSEE, 2007, 27(28): 40-45(in Chinese).
11. Guo Chuangxin, Peng Mingwei, Liu Yi. Novel approach for fault diagnosis of the power grid with information fusion of multi-data resources[J]. Proceedings of the CSEE, 2009, 29(31): 1-7(in Chinese).
12. Fu Ling, He Zhengyou, Mai Ruikun, et al. Information fusion method of entropy evidences and its application to fault diagnosis in power system[J]. Proceedings of the CSEE, 2008, 28(13): 64-69(in Chinese).
13. Poole D. Explanation and prediction: an architecture for default and abductive reasoning[J]. Computational Intelligence, 1989, 5(2): 97-110.
14. Huang Y C. Abductive reasoning network based diagnosis system for fault section estimation in power systems[J]. IEEE Transactions on Power Delivery, 2002, 17(2): 369-374.
15. Kirschen D S, Wollenberg B F. Intelligent alarm processing in power systems[J]. Proceedings of the IEEE, 1992, 80(5): 663-672.
16. Yue Quanming. The key technology study of intelligent fault diagnosis systems in power network[D]. Shanghai: Shanghai Jiao Tong University, 2006(in Chinese).
17. Brusoni V, Console L, Terenziani P, et al. A spectrum of definitions for temporal model-based diagnosis[J]. Artificial Intelligence, 1998, 102(1): 39-79.
18. Console L, Terenziani P, Dupre T. Local reasoning and knowledge compilation for efficient temporal abduction[J]. IEEE Transactions on Knowledge and Data Engineering, 2002, 14(6): 1230-1248.
19. Dechter R, Meiri I, Pearl J. Temporal constraint networks[J]. Artificial Intelligence, 1991, 49(1): 61-95.
20. Papadimitriou C H, Steiglitz K. Combinatorial optimization: algorithms and complexity[M]. New Jersey: Prentice-Hall, 1982: 129-133.