• DocumentCode
    1901471
  • Title

    Real-time multi agent system modeling for fault detection in power distribution systems

  • Author

    Ghorbani, J. ; Choudhry, M.A. ; Feliachi, A.

  • Author_Institution
    Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
  • fYear
    2012
  • fDate
    9-11 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a decentralized multi agent system (MAS) which works in real time with a power distribution system for fault detection applications. The agents use local voltage and current rms values. The multi-agent models are simulated in Matlab® Simulink using user defined s-functions and the power system is modeled using the Simulink Simpower toolbox. The proposed method has been tested on a model of an existing Mon Power circuit. Both faulted zone and fault type have been successfully identified.
  • Keywords
    fault diagnosis; multi-agent systems; power distribution faults; power engineering computing; real-time systems; Matlab; Mon power circuit; Simulink; Simulink Simpower toolbox; current rms value; decentralized system; fault detection; power distribution system; real-time multiagent system; s function; voltage rms value; Circuit faults; Fault detection; Fault location; Mathematical model; Multiagent systems; Power distribution; Real time multi agent system; fault detection and isolation; power distribution system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2012
  • Conference_Location
    Champaign, IL
  • Print_ISBN
    978-1-4673-2306-2
  • Electronic_ISBN
    978-1-4673-2307-9
  • Type

    conf

  • DOI
    10.1109/NAPS.2012.6336398
  • Filename
    6336398