• DocumentCode
    267411
  • Title

    Energy management based on multi-agent for independent DC micro-grid with wind solar power

  • Author

    Qi Zhiyuan ; Li Zhifeng

  • Author_Institution
    Coll. of Electron. Inf. Eng., Inner Mongolia Univ., Hohhot, China
  • fYear
    2014
  • fDate
    5-8 Nov. 2014
  • Firstpage
    1226
  • Lastpage
    1229
  • Abstract
    An independent DC micro-grid that is composed of wind power, solar power and other distributed generation units in geographical proximity is discussed for cooperation control of energy management in this paper. A multi-agent control strategy based on JADE development tools is designed in order to achieve energy management for independent DC micro-grid. The hybrid simulation studies, which are combined JADE with MATLAB/Simulink/Powersystem are carried out to verify the correctness of proposed control strategy. The results indicate that the control method by means of multi-agent can reasonably regulated energy flow at different weather conditions and load. Therefore, the suggested coordinated control method with multi-agent can ensure independent DC micro-grid with wind solar power optimizing operation.
  • Keywords
    control engineering computing; distributed power generation; energy management systems; multi-agent systems; power control; power generation control; solar power stations; wind power plants; JADE development tools; Matlab-Simulink-Powersystem; cooperation control; coordinated control method; distributed generation units; energy flow regulation; energy management; geographical proximity; independent DC microgrid; multiagent control strategy; wind solar power optimizing operation; Energy management; Energy storage; Maximum power point trackers; Photovoltaic systems; Wind power generation; JADE; coordinated control; independent DC micro-grid; multi-agent; wind solar power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Application Conference and Exposition (PEAC), 2014 International
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/PEAC.2014.7038037
  • Filename
    7038037