• DocumentCode
    2808145
  • Title

    Distributed Grid Intelligence for future microgrid with renewable sources and storage

  • Author

    Meng, Fanjun ; Akella, Ravi ; Crow, Mariesa L. ; McMillin, Bruce

  • Author_Institution
    Dept. of Electr. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2010
  • fDate
    26-28 Sept. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The FREEDM microgrid is a smart grid solution with Distributed Grid Intelligence (DGI) to efficiently manage the power distribution and storage of renewable energy. Within the FREEDM system, DGI applies distributed control method in a unique way to achieve feasible load balancing in microgrid by migrating power between renewable energy generation and storage at each node. This paper presents the key aspects in implementing such a scheme and outlines the preliminary results obtained by integrating the proposed methodology. The results demonstrate the potential benefits of adopting DGI control on a microgrid.
  • Keywords
    distributed control; distributed power generation; load regulation; power distribution control; renewable energy sources; smart power grids; DGI control; FREEDM microgrid; distributed control method; distributed grid intelligence; future microgrid; load balancing; power distribution; power storage; renewable energy generation; renewable sources; renewable storage; smart grid solution; Batteries; Mathematical model; Optimization; Peer to peer computing; Renewable energy resources; Smart grids; Distributed Grid Intelligence; Distributed renewable generation; FREEDM; Power migration; Smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2010
  • Conference_Location
    Arlington, TX
  • Print_ISBN
    978-1-4244-8046-3
  • Type

    conf

  • DOI
    10.1109/NAPS.2010.5618963
  • Filename
    5618963