• DocumentCode
    3082228
  • Title

    Design and implementation of MAS in renewable energy power generation system

  • Author

    Jia, Shuyun ; Jiangchang

  • Author_Institution
    Dept. of Autom., Shenzhen Polytech., Shenzhen, China
  • fYear
    2010
  • fDate
    13-15 May 2010
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    Multi-agent system (MAS) is farther development of distributed artificial intelligence. Agent technology is an advanced control method. Now the human are faced with the problem of energy sources lack and environment worsened. Wind and solar energy will be promising renewable energy in century. But randomicity and complexity of climate make windsolar hybrid power generation system difficult to be controlled. In order to resolve the control problem in open dynamic modern electric power system, the paper design the multiagent model of wind-solar power generation system and implement the system using software and hardware. And the scheme can enhance the power system´ intelligence and robustness. So it can be applied into sea-island, remote region, unmanned operation´ wind-solar energy hybrid power generation system.
  • Keywords
    control engineering computing; hybrid power systems; intelligent control; multi-agent systems; power engineering computing; power generation control; solar power stations; MAS; advanced control method; distributed artificial intelligence; electric power system; hybrid power generation system; intelligence control; multi-agent system; renewable energy power generation system; wind-solar power generation system; Artificial intelligence; Hybrid power systems; Multiagent systems; Power generation; Power system dynamics; Power system modeling; Renewable energy resources; Solar power generation; Wind energy generation; Wind power generation; intelligence control; multi-agent system(MAS); renewable energy power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human System Interactions (HSI), 2010 3rd Conference on
  • Conference_Location
    Rzeszow
  • Print_ISBN
    978-1-4244-7560-5
  • Type

    conf

  • DOI
    10.1109/HSI.2010.5514584
  • Filename
    5514584