• DocumentCode
    1848570
  • Title

    Multi-agent systems for grid energy management: A short review

  • Author

    Roche, R. ; Blunier, B. ; Miraoui, A. ; Hilaire, V. ; Koukam, A.

  • Author_Institution
    Syst. & Transp. Lab., Univ. of Technol. Belfort Montbeliard, Belfort, France
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    3341
  • Lastpage
    3346
  • Abstract
    The electric grid is currently undergoing important changes: it is evolving from an entirely centralized structure to a decentralized one, mainly due to the massive development of distributed renewable energy sources. This evolution toward what we now call the smart grid requires new control methods. These methods must be able to withstand new requirements, such as the highly distributed nature of the grid, the ability to run in islanding mode, the intermittency of renewable energy sources and the limited bandwidth for communications. Multi-agent systems (MAS) have characteristics that meet these requirements. In contrary to classical analytical methods, the grid is considered as a collection of simple entities called agents corresponding to sources, loads and other components, evolving in a given environment. A certain degree of distributed or collective intelligence can be achieved through the interaction of these agents with each other, cooperating or competing to reach their goals. This article is a short review of several multi-agent systems published in the literature and used for grid energy management. It presents a number of concepts and experiments used by researchers to apply this promising method. Various approaches and their results are compared, in order to give the reader a global perspective of the state of the art in this precise domain.
  • Keywords
    energy management systems; multi-agent systems; renewable energy sources; smart power grids; collective intelligence; distributed intelligence; distributed renewable energy sources; electric grid; grid energy management; islanding mode; multiagent systems; smart grid; Forecasting; Generators; Multiagent systems; Renewable energy resources; Smart grids; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675295
  • Filename
    5675295