• DocumentCode
    2257826
  • Title

    Design and implementation of MAS in renewable energy power generation system

  • Author

    Jia, Shu-yun ; Chang, Jiang

  • Author_Institution
    Dept. of Autom., Shenzhen Polytech., Shenzhen, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    22
  • Lastpage
    25
  • 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 wind-solar 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 multi-agent 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
    hybrid power systems; intelligent control; multi-agent systems; power generation control; solar power; solar power stations; wind power; wind power plants; advanced control method; distributed artificial intelligence; intelligent control; multiagent system; renewable energy power generation system; solar energy; wind energy; wind-solar hybrid power generation system; Batteries; Collaboration; Multiagent systems; Power generation; Power systems; Solar energy; Wind energy; Intelligence control; Multi-agent system(MAS); Renewable energy power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5581101
  • Filename
    5581101