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