• DocumentCode
    1777910
  • Title

    Research on smart grid simulation framework based on distributed intelligent system

  • Author

    Lei Dong ; Ye Li ; Kewen Liu ; Tianjiao Pu ; Guangyi Liu

  • Author_Institution
    North China Electr. Power Univ. (NCEPU), Beijing, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    1969
  • Lastpage
    1974
  • Abstract
    Based on distributed intelligent system smart grid simulation is a new generation simulation considering with distributed generation feed-in and demand response for the future grid development, which has the characteristics of distributed artificial intelligence. This paper builds structures, models and synergy mechanisms of agents in smart grid simulation and achieves the real-time perception of whole network through scenario decision-making. On these bases, this paper presents a complete smart grid simulation framework based on multi-agent system and scenario decision-making. Finally, an example verifies the effectiveness of this smart grid distributed simulation framework.
  • Keywords
    artificial intelligence; decision making; power engineering computing; power system simulation; smart power grids; decision making; demand response; distributed artificial intelligence; distributed generation feed-in; distributed intelligent system; distributed intelligent system smart grid simulation; generation simulation; grid development; multiagent system; real-time perception; scenario decision-making; smart grid distributed simulation framework; smart grid simulation; smart grid simulation framework; synergy mechanisms; Decision making; Intelligent systems; Knowledge based systems; Load modeling; Multi-agent systems; Smart grids; Distributed Artificial Intelligence; Multi-Agent System; Scenario Decision-Making; Smart Grid Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993898
  • Filename
    6993898