• DocumentCode
    1909500
  • Title

    Research on Multi-agent Decision-Making Model of Wind-Solar Complementary Power Generation System

  • Author

    Jia, Shuyun ; Chang, Jiang

  • Author_Institution
    Dept. of Autom., Shenzhen Polytech., Shenzhen, China
  • Volume
    4
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    7
  • Lastpage
    10
  • Abstract
    with the development of computer and network, new control methods appear in industrial control system. And more intelligent and roboticized agent technology also appears after artificial intelligence (AI). Agent technology is farther development of AI. Wind and solar energy complementary power generation is a novel and promising power system, but because of randomicity and complexity of the climate, it makes wind and solar complementary power generation system a complicated system. In this paper, we first introduce advanced agent technology into wind and solar energy complementary power generation system, Then we establish the multi-agent decision-making model of wind and solar energy complementary power generation MADMWSCPS. In the MADMWSCPS, according to its function, the whole system is divided into several agent modules and each agent module is divided into some detailed agents. At last, we realize a decision-making process by the flexible collaboration and communication of these agents. The scheme can be applied into sea-island, remote region, unmanned operation´ wind-solar energy complementary power generation system, it can enhance power system´ intelligence and reliability.
  • Keywords
    decision making; industrial power systems; multi-agent systems; power generation control; artificial intelligence; industrial control system; multiagent decision making model; wind-solar complementary power generation system; Artificial intelligence; Decision making; Power generation; Power system modeling; Power system reliability; Solar energy; Solar power generation; Wind energy; Wind energy generation; Wind power generation; decision-making model of wind-solar energy complementary power generation; multi-agent technology; optimization control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.718
  • Filename
    5288194