DocumentCode :
497339
Title :
Fault Diagnosis Based on BFS in Electric Power System
Author :
Zhang Yagang ; Zhang Jinfang ; Ma Jing ; Wang ZengPing
Author_Institution :
Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control Under Minist. of Educ., North China Electr. Power Univ., Baoding, China
Volume :
1
fYear :
2009
fDate :
11-12 April 2009
Firstpage :
643
Lastpage :
646
Abstract :
In this paper, we adopt a novel topological approach to fault diagnosis. In our researches, global information will be introduced into electric power system, we are using mainly BFS of graph theory algorithms to resolve fast and exact discrimination of faulty components and faulty sections, and finally accomplish fault diagnosis. Graph theory algorithms can be used to model many different physical and abstract systems such as transportation and communication networks, models for business administration, political science, and psychology and so on. In the study of fault diagnosis in electric power system, especially the fault diagnosis for mechanically-driven sections of equipments in power plant, graph theory algorithms must also have a good prospect of application.
Keywords :
fault diagnosis; graph theory; power system faults; search problems; Breadth-first search algorithm; electric power system; fault diagnosis; graph theory algorithm; mechanically-driven section; power plant equipment; Circuit faults; Electric variables measurement; Fault diagnosis; Graph theory; Instruments; Power system dynamics; Power system modeling; RLC circuits; Resistors; Voltage; BFS; electric power system; fault diagnosis; graph theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
Type :
conf
DOI :
10.1109/ICMTMA.2009.410
Filename :
5203054
Link To Document :
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