• DocumentCode
    3261052
  • Title

    Multi-Agent System for Demand Side Management in smart grid

  • Author

    Logenthiran, T. ; Srinivasan, Dipti ; Shun, Tan Zong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2011
  • fDate
    5-8 Dec. 2011
  • Firstpage
    424
  • Lastpage
    429
  • Abstract
    This paper presents a Multi-Agent System (MAS) for Demand Side Management (DSM) in smart grid which uses an energy market for resource allocation. The multi-agent system contains Load Agents, Generator Agents and DSM Agent, which provides an electronic auction platform. The automation of the demand side management through the multi-agent system is equipped with an intelligent strategy which allows controllable devices to dynamically react to market changes and adapt their bidding behaviours accordingly. The agents are able to shift energy demand within certain boundaries from peak hours to off-peak hours to minimize the operational cost of the system. Simulation studies were carried out on the developed multi-agent system and the results show that the proposed approach provides a smoothed load curve for the whole system while operational cost and peak demand are reduced.
  • Keywords
    costing; demand side management; multi-agent systems; power engineering computing; power markets; power system economics; resource allocation; smart power grids; DSM agent; MAS; controllable devices; demand side management; electronic auction platform; energy market; generator agents; load agents; multiagent system; off-peak hours; operational cost; resource allocation; smart grid; smoothed load curve; Batteries; Generators; Load flow control; Multiagent systems; Planning; Shape; Smart grids; Demand side management; Energy market; Microgrid; Multi-agent system; Smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Drive Systems (PEDS), 2011 IEEE Ninth International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2164-5256
  • Print_ISBN
    978-1-61284-999-7
  • Electronic_ISBN
    2164-5256
  • Type

    conf

  • DOI
    10.1109/PEDS.2011.6147283
  • Filename
    6147283