• 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