• DocumentCode
    2341564
  • Title

    An agent-based approach to renewable energy management in eco-building

  • Author

    Zeng Jun ; Wu Jie ; Jun-feng, Liu ; Gao La-mei ; Li Min

  • Author_Institution
    Coll. of Electr. Power, South China Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    24-27 Nov. 2008
  • Firstpage
    46
  • Lastpage
    50
  • Abstract
    This paper presents the implementation of a multi agent system (MAS) for distributed renewable energy (RE) management of a set of eco-building units. Firstly, an introduction to the renewable energy system of a typical eco-building is presented. Secondly, the key problems and requirements existing in the system are proposed and analyzed. Thirdly, hybrid MAS is proposed to design a renewable energy management system. Then, overall frame, agent design, discrete state transition and continuous decision-making algorithm are presented. Finally, the scenario simulation and experiment of certain eco-building units are demonstrated, and the results show the hybrid RE power system based on MAS technology not only balances the power supply and load demand, but also meets the system requirements.
  • Keywords
    decision making; energy management systems; multi-agent systems; power engineering computing; renewable energy sources; agent-based approach; continuous decision-making algorithm; discrete state transition; distributed renewable energy management; ecobuilding; hybrid MAS; multiagent system; renewable energy management; Control systems; Educational institutions; Energy management; Hybrid power systems; Photovoltaic systems; Power system management; Power system modeling; Power system simulation; Renewable energy resources; Wind energy generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1887-9
  • Electronic_ISBN
    978-1-4244-1888-6
  • Type

    conf

  • DOI
    10.1109/ICSET.2008.4746970
  • Filename
    4746970