• DocumentCode
    3502614
  • Title

    The research on fault diagnosis of distribution network based on rough set theory

  • Author

    Xie Yun-fang ; Zhou Yu-hong ; Cai Jin-jin

  • Author_Institution
    Hebei Agric. Univ., Baoding, China
  • Volume
    3
  • fYear
    2009
  • fDate
    8-9 Aug. 2009
  • Firstpage
    194
  • Lastpage
    197
  • Abstract
    Based on the rough set theory, a new distribution network fault diagnosis approach to deal with the imperfect alarm signals that caused by malfunction or failing operation of protection relays and circuit breakers, error in the communication equipment is proposed. Due to rough set theory can effectively handle the imprecise problems without any ancestor information except the data set itself, a decision table including all kinds of fault cases is established by considering the signals of protection relays and circuit breakers, and the approach can extract diagnosis rules from the set of fault samples directly. The inherent redundancy in the alarm information is exposed. Finally, a practical fault diagnosis program of the typical distribution network is proposed by using Visual C# language based on Visual Studio. NET developing platform. The result shows the validity of the proposed method.
  • Keywords
    circuit breakers; decision tables; fault diagnosis; power distribution faults; power engineering computing; relay protection; rough set theory; visual programming; Visual C# language; Visual Studio. NET developing platform; circuit breaker failure; decision table; distribution network; fault diagnosis; protection relay failure; rough set theory; Circuit breakers; Circuit faults; Communication system control; Fault diagnosis; Fault tolerance; Knowledge representation; Power system reliability; Protection; Protective relaying; Set theory; Rough set; decision table; distribution network; fault diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4247-8
  • Type

    conf

  • DOI
    10.1109/CCCM.2009.5267879
  • Filename
    5267879