• DocumentCode
    2438427
  • Title

    The System of Load Optimal Distributing of Hydropower Station Based on Multi-Agent

  • Author

    Zhao, TingHong ; Man, Zibin ; Bi, Guiquan

  • Author_Institution
    Coll. of Fluid Power & Control Eng., Lanzhou Univ. of Technol., Lanzhou
  • Volume
    2
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    483
  • Lastpage
    487
  • Abstract
    In the course of whole operation of the power station, the distribution of the load among the units is a very key course, but the existing optimization algorithm has not reflected the real-time character of load optimal distributing, and because of having no considering repetitiveness of calculation, thus reduced the speed of calculation. This paper combines Multi-Agent theories and the unit´s load optimal distribution of power station together, have set up a system of load optimal distribution of hydropower station based on Multi-Agent theories, this system fully utilizes intelligent of Agent and good communication harmony within Multi-Agent system, and store and use the result of load optimal distribution in the past, and combined real-time operating information with optimizing algorithms organically, thus strengthened the real-time character of load optimal distribution, and has improved the calculation speed greatly.
  • Keywords
    hydroelectric power stations; load distribution; multi-agent systems; optimisation; hydropower station; load optimal distribution; multiagent system; optimization; Computational intelligence; Computer industry; Conferences; Hydroelectric power generation; Intelligent agent; Multiagent systems; Power generation; Power generation economics; Power system economics; Real time systems; Multi-Agent; hydropower station; load optimal distributing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.372
  • Filename
    4756822