• DocumentCode
    2238888
  • Title

    Coordination of a Society of Agents for Automatic Distribution System Restoration: Toward a Smart Grid

  • Author

    Soo, Von-Wun ; Tsai, Men-Shen ; Yu, Wan-Yu ; Peng, Yen-Bo

  • Author_Institution
    Dept. of Comput. Sci., Naitonal Tsing Hua Unviersity, Hsicnchu, Taiwan
  • fYear
    2010
  • fDate
    18-20 Nov. 2010
  • Firstpage
    110
  • Lastpage
    115
  • Abstract
    Establishing a smart power grid utilizing advanced agent information technology has raised much attention recently. In this paper we propose a method that is based on coordination and negotiation among a set of distributed local power committees who could together reach a consensus of “global” optimal power restoration solution in cope with local power failures after a fault is detected in a power grid. The optimality criteria can be specified by a human power manager in terms of actual operation costs such as the minimum number of switch actions. We show how local distributed agent committees whose members are essentially switch agents and power generator agents are connected locally as neighbors and can find a global optimal solution to the power restoration problem by localizing their decisions in the local committee and by communicating and negotiating via neighbors of their committee members.
  • Keywords
    distribution networks; multi-agent systems; power engineering computing; power system restoration; smart power grids; agent information technology; distributed agent committee; distributed local power committee; distribution system restoration; human power manager; power generator agents; smart power grid; switch agents; Agent committee problem solving; distributed constraint satifcation and automatic negotions; power restoration; smart power grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies and Applications of Artificial Intelligence (TAAI), 2010 International Conference on
  • Conference_Location
    Hsinchu City
  • Print_ISBN
    978-1-4244-8668-7
  • Electronic_ISBN
    978-0-7695-4253-9
  • Type

    conf

  • DOI
    10.1109/TAAI.2010.28
  • Filename
    5695440