• DocumentCode
    107667
  • Title

    A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches

  • Author

    Ruilong Deng ; Zaiyue Yang ; Mo-Yuen Chow ; Jiming Chen

  • Author_Institution
    State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
  • Volume
    11
  • Issue
    3
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    570
  • Lastpage
    582
  • Abstract
    The smart grid is widely considered to be the informationization of the power grid. As an essential characteristic of the smart grid, demand response can reschedule the users´ energy consumption to reduce the operating expense from expensive generators, and further to defer the capacity addition in the long run. This survey comprehensively explores four major aspects: 1) programs; 2) issues; 3) approaches; and 4) future extensions of demand response. Specifically, we first introduce the means/tariffs that the power utility takes to incentivize users to reschedule their energy usage patterns. Then we survey the existing mathematical models and problems in the previous and current literatures, followed by the state-of-the-art approaches and solutions to address these issues. Finally, based on the above overview, we also outline the potential challenges and future research directions in the context of demand response.
  • Keywords
    convex programming; game theory; power system analysis computing; power system economics; power system interconnection; smart power grids; tariffs; convex optimization; demand response; energy consumption; energy usage patterns; game theory; interconnected infrastructure; mathematical models; means; operating expense reduction; power grid informationization; power utility; smart grids; tariffs; Convex functions; Energy consumption; Game theory; Renewable energy sources; Smart grids; Wide area networks; Convex optimization; demand response; game theory; renewable energy; smart grid;
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2015.2414719
  • Filename
    7063260