• DocumentCode
    2789195
  • Title

    Wide-area protection against chain over-load trip based on multi-agent technology

  • Author

    Wang, Yan ; Zhang, Yan-Xia ; Xu, Song-xiao

  • Author_Institution
    Key Lab. of Power Syst. Simulation & Control, Tianjin Univ., Tianjin
  • Volume
    3
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1548
  • Lastpage
    1552
  • Abstract
    A new method of wide-area protection against chain over-load trip (PACOLT) based on multi-agent technology (MAT) is presented. After the agent technology is expounded, the structure of wide-area PACOLT based on MAT and cooperation of all the inside modules are analyzed. Then a protection algorithm of wide-area protection against chain over-load trip (PACOLT) is proposed. This protection algorithm adopts the relevant elements of the node impedance matrix stored in the wide-area dispatching agent to estimate the overload current coefficients of each branch. With these coefficients, the possibility of chain over-load trip in the case of cutting the over-load branch can be analyzed. This protection can prevent the chain over-load trip and ensure the reliability and continuity of power supply.
  • Keywords
    impedance matrix; load dispatching; load regulation; multi-agent systems; power distribution protection; power distribution reliability; power engineering computing; agent cooperation; multiagent technology; node impedance matrix; over-load branch analysis; overload current coefficient; power supply continuity; power supply reliability; protection algorithm; wide-area dispatching agent; wide-area protection against chain over-load trip; Communication system control; Control systems; Dispatching; Educational technology; Intelligent agent; Machine learning; Power system control; Power system protection; Power system simulation; Power systems; Multi-Agent Technology (MAT); Protection Against Chain Over-Load Trip (PACOLT); Wide Area Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620652
  • Filename
    4620652