• DocumentCode
    2789911
  • Title

    Bid-scheduling of demand side reserve based on demand response considering carbon emission trading in smart grid

  • Author

    Ai Xin ; Liu Xiao ; Qiu Wen-jie ; Wang Yang

  • Author_Institution
    Dept. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2010
  • fDate
    20-22 Sept. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Traditionally, reserves are deployed on generation side. As load demands increase greatly and carbon emission cap policy is implemented, reserve market will suffer from both poor reserve resources and extreme price strike. In this paper, a novel philosophy is presented which is called demand side reserve (DSR) based on demand response (DR) considering carbon emission trading (CET) under smart grid. Firstly, DSRs will be classified into three types by their characteristics and clearing cost models of them are given respectively. CET approach is employed here to describe an opportunity cost of DSRs and encourage customers to participate into carbon emission reduction. Secondly, a DSR-scheduling framework is developed which could realize the carbon emission quotas circulation from demand side to generation side under the CET system. Finally, simulation on a test system is used to illustrate the benefits of the proposed view.
  • Keywords
    demand side management; environmental economics; power generation scheduling; smart power grids; bid-scheduling; carbon emission cap policy; carbon emission reduction; carbon emission trading; demand response; demand side reserve; extreme price strike; smart grid; Batteries; Biological system modeling; Carbon dioxide; Load management; Scheduling; Smart grids; Smart grid; biding and scheduling model; carbon emission trading; demand response; demand side reserve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Critical Infrastructure (CRIS), 2010 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8080-7
  • Type

    conf

  • DOI
    10.1109/CRIS.2010.5617534
  • Filename
    5617534