• DocumentCode
    635101
  • Title

    Energy consumption scheduling in smart grid: A non-cooperative game approach

  • Author

    Kai Ma ; Guoqiang Hu ; Spanos, Costas J.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2013
  • fDate
    23-26 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper is concerned with an energy consumption scheduling problem for consumers in smart grid, based on a real time pricing strategy. Firstly, the energy consumption scheduling problem is cast into a non-cooperative energy consumption game, where consumers compete with each other in order to minimize their electricity usage cost. Secondly, we prove that the non-cooperative energy consumption game has a unique Nash equilibrium point, i.e., optimal energy consumption solution. Thirdly, the energy consumption solution is obtained by a discrete iterative algorithm. Simulation results show that the energy consumption scheduling scheme is effective in matching the varying generation capacity in a day.
  • Keywords
    game theory; iterative methods; power consumption; power generation scheduling; pricing; real-time systems; smart power grids; discrete iterative algorithm; electricity usage cost; energy consumption scheduling; generation capacity; noncooperative energy consumption game; noncooperative game approach; optimal energy consumption; real time pricing; smart grid; unique Nash equilibrium point; Educational institutions; Electricity; Energy consumption; Games; Nash equilibrium; Optimal scheduling; Pricing; Nash equilibrium; energy consumption scheduling; noncooperative game; real time pricing; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2013 9th Asian
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-5767-8
  • Type

    conf

  • DOI
    10.1109/ASCC.2013.6606274
  • Filename
    6606274