Power system fault diagnosis based on gradual optimization in consideration of alarm information aberrance

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

Volumn 24, Issue 9, 2009, Pages

  Mei, Nian ^a   Shi, Dongyuan ^a   Li, Yinhong ^a   Duan, Xianzhong ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Information aberrance; Optimization model; Outage area; Power system fault diagnosis; Variable temporal order figure

Indexed keywords

ADAPTIVE CHARACTERISTIC; DIAGNOSTIC METHODS; FAULT PROBABILITIES; FAULT SECTION ESTIMATION; FAULT SECTIONS; FAULTY ELEMENTS; INFORMATION ABERRANCE; MULTI OBJECTIVE; OPTIMIZATION METHOD; OPTIMIZATION MODEL; POWER SYSTEM FAULT; POWER SYSTEM FAULT DIAGNOSIS; POWER SYSTEMS; SCENERIOS; STATE VECTOR; VARIABLE TEMPORAL ORDER FIGURE;

ELECTRIC POWER TRANSMISSION NETWORKS; FAILURE ANALYSIS; MATHEMATICAL MODELS; OPTIMIZATION; OUTAGES; QUALITY ASSURANCE;

ALARM SYSTEMS;

EID: 70350585216     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. U.S.-Canada Power System Outage Task Force. Final report on the August 14, 2003 blackout in the United States and Canada: causes and recommendations[OL]. http://www.nerc.com.
2. Oyama T. Fault section estimation in power systems using Boltzmann machine[C]. Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems, Japan, 1993: 3-8.
3. Wen Fushuan, Han Zhenxiang. Fault section estimation in power systems using simulated evolution[J]. Transactions of China Electrotechnical Society, 1994, 9(2): 57-63.
4. Wen Fushuan, Qiu Jiaju, Han Zhenxiang. A Tabu search based approach to fault section estimation and state identification of unobserved protective relays in power systems using information from protective relays and circuit breakers[J]. Transactions of China Electrotechnical Society, 1996, 11(2): 58-64.
5. Wen Fushuan, Qian Yuanping, Han Zhenxiang, et al. A Tabu search based approach to fault section estimation and state identification of unobserved protective relays in power systems using information fro protective relays and circuit breakers[J]. Transactions of China Electrotechnical Society, 1998, 13(5): 1-8.
6. Weng Hanli, Mao Peng, Lin Xiangning. An improved model for optimizing power system fault diagnosis[J]. Automation of Electric Power Systems, 2007, 31(7): 66-70.
7. Zhang Bingda, Ma Zhongkun, Chen Weile, et al. The fault diagnosis for substation based on optimizing the combination of fault masses[J]. Proceedings of the CSEE, 2004, 24(3): 135-139.
8. Wen Fushuan, Han Zhenxiang. A new fault diagnosis model capable of dealing with temporal information of alarm messages[J]. Automation of Electric Power Systems, 1999, 23(17): 6-9.
9. Zhou Yulan, Wang Yuling, Zhao Manyong. Statistics of operation situation of protective relayings and automation devices of power system in China in 2004[J]. Power System Technology, 2005, 29(16): 42-48.
10. Hou Yunhe, Lu Lijuan, Xiong Xinyin, et al. Enhanced particle swarm optimization algorithm and its application on economic dispatch of power systems[J]. Proceedings of the CSEE, 2004, 24(7): 95-100.
11. Peng Yun, Reggia J A. A connectionist model for diagnostic problem solving[J]. IEEE Trans. on Systems, Man and Cybernetics, 1989, 19(2): 285-298.
12. Peng Yun, Reggia J A. Adductive inference models for diagnostic problem-solving[M]. New York: Springer-Verlag, 1990.
13. Mei Nian, Shi Dongyuan, Duan Xianzhong, et al. A suspicious fault device aggregate identification method for power systems based on position change information of breakers[J]. Power System Technology, 2007, 31(11): 156-161.