• DocumentCode
    2399862
  • Title

    Incentive payment design for interruptible load management of power systems

  • Author

    Yongwei, Tang ; Shaohua, Zhang ; Yanyan, Liu

  • Author_Institution
    Sch. of Mechatronical Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2011
  • fDate
    8-10 June 2011
  • Firstpage
    357
  • Lastpage
    360
  • Abstract
    In demand-side-management, the interruptible load management (ILM) plays an important role in constructing smart grid. One important issue is concentrate on how to determine the incentive payment for the ILM. The integration of consumers´ willingness to curtail load in the ILM is helpful to the optimum allocation of the limited electricity resource. In order to design such kind of mechanisms, the consumers´ type parameters are introduced to reflect the consumers´ willingness to load interruption. In the meantime, the pay-as-you-go method and the pay-in-advance method are presented to the incentive payment. The results show that consumers with relatively large willingness to curtail load get more payments. The self disclosure of consumers´ willingness is another merit of these methods. Simulation results certify the validity of the proposed methods on ILM.
  • Keywords
    demand side management; power system management; smart power grids; ILM; demand-side-management; electricity resource; incentive payment design; pay-as-you-go method; pay-in-advance method; power system interruptible load management; smart grid; Companies; Contracts; Electricity; Electricity supply industry; Load management; Load modeling; Smart grids; Consumer´s willingness; Incentive payment; Interruptible load management; Payment method; Smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science and Engineering (ICSSE), 2011 International Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-61284-351-3
  • Electronic_ISBN
    978-1-61284-472-5
  • Type

    conf

  • DOI
    10.1109/ICSSE.2011.5961928
  • Filename
    5961928