• DocumentCode
    183724
  • Title

    A new pricing scheme for controlling energy storage devices in smart grid

  • Author

    Jingwei Zhu ; Chen, Michael Z. Q. ; Zhiqiang Zuo ; Baozhu Du

  • Author_Institution
    Dept. of Mech. Sci. & Eng., Univ. of Illinois at Urbana-Champaign, Champaign, IL, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    2912
  • Lastpage
    2917
  • Abstract
    Improvement of the overall efficiency of energy infrastructure is one of the main anticipated benefits of the deployment of smart grid technology. Advancement in energy storage technology and two-way communication in the electric network are indispensable components to achieve such a vision, while efficient pricing schemes and appropriate storage management are also essential. In this paper, we propose a novel pricing scheme which permits one to indirectly control the energy storage devices in the grid to achieve a more desirable aggregate demand profile that meets a particular target of the grid operator such as energy generation cost minimization and carbon emission reduction. Such a pricing scheme can potentially be applied to control the behavior of energy storage devices installed for integration of intermittent renewable energy sources that have permission to grid connection and will have broader applications as an increasing number of novel and low-cost energy storage technologies emerge.
  • Keywords
    energy storage; environmental economics; minimisation; power generation control; pricing; renewable energy sources; smart power grids; aggregate demand profile; carbon emission reduction; cost minimization; electric network; energy generation; energy infrastructure; energy storage device control; grid connection; grid operator; indispensable components; intermittent renewable energy sources; pricing scheme; smart grid; storage management; two-way communication; Aggregates; Educational institutions; Energy storage; Linear programming; Power generation; Pricing; Renewable energy sources; Control applications; Optimization; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858747
  • Filename
    6858747