• DocumentCode
    715133
  • Title

    A game theoretic software framework for optimizing demand response

  • Author

    Lausenhammer, Wolfgang ; Engel, Dominik ; Green, Robert

  • Author_Institution
    Josef Ressel Center for User-Centric Smart Grid Privacy, Salzburg Univ. of Appl. Sci., Salzburg, Austria
  • fYear
    2015
  • fDate
    18-20 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Demand response (DR) is a crucial and necessary aspect of the smart grid, particularly when considering the optimization of both, power consumption and generation. While many benefits of DR are currently under study, an issue of particular concern is optimizing end-users´ power consumption profiles at various levels. This study proposes a fundamental, game theoretic software framework for DR simulation that is capable of investigating the effect of optimizing multiple electric appliances by utilizing game theoretic algorithms. Initial results show that by shifting the switch-on time of three household appliances provides a savings of up to 6%.
  • Keywords
    domestic appliances; game theory; power consumption; smart power grids; DR simulation; demand response optimization; electric household appliance; game theoretic software framework; power consumption; power generation; smart grid; Game theory; Games; Home appliances; Load management; Load modeling; Schedules; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/ISGT.2015.7131861
  • Filename
    7131861