• DocumentCode
    3688867
  • Title

    Energy Trading In the smart grid: A game theoretic approach

  • Author

    Naouar Yaagoubi;Hussein T. Mouftah

  • Author_Institution
    School of Electrical Engineering and Computer Science, University of Ottawa, ON, Canada
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The new and improved smart grid allows energy to flow back from customers into the grid. Customers can sell their excess of energy to the grid or to other customers. While the former has been extensively researched in the literature and is known as Vehicule-to-Grid (V2G) [1], the latter is broadly referred to as energy trading. In this paper, we propose a game theoretic approach that allows customers in the grid to buy energy from other customers offering their surplus at a discounted price. The proposed approach is based on a modified regret matching procedure [2] and enables users to trade energy. Sellers make profit by selling their surplus of energy gathered from renewable resources and stored in energy storage devices such as batteries. Buyers can save on their energy bill by buying cheap energy from their neighbors instead of the grid, therefore decreasing the load on the grid and making use of clean renewable energy. The proposed approach is evaluated through a set of simulations, which show that the proposed approach encourages the use of clean energy and provides energy bill savings to buyers.
  • Keywords
    "Games","Smart grids","Energy storage","Mathematical model","Cost function","Heuristic algorithms","Electrical engineering"
  • Publisher
    ieee
  • Conference_Titel
    Smart Energy Grid Engineering (SEGE), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SEGE.2015.7324593
  • Filename
    7324593