• DocumentCode
    176005
  • Title

    An electricity charge strategy based on dynamic rewards and punishment

  • Author

    Li Yan-ping ; Yu Dan ; Xu Dai-dai ; Li Xin

  • Author_Institution
    Key Lab. of Manuf. Ind. Integrated Autom., Shenyang Univ., Shenyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    1796
  • Lastpage
    1800
  • Abstract
    This paper studied deeply an electricity charge strategy based on dynamic rewards and punishment mechanism. Several types of rewards and punishment are proposed, such as unilateral linear punishment and nonlinear charge, bilateral linear punishment and nonlinear charge, bilateral linear rewards and punishment and nonlinear charge, unilateral nonlinear punishment and linear charge, bilateral nonlinear rewards and punishment and approximate linear charge. This strategy can dissolve the contradiction between charging class and power supply-demand, which brought by the fixed class electricity price mechanism dominated by the power sector. Finally, the principle and algorithm of determining the expected power consumption is proposed from the perspective of Stackelberg strategy. Meanwhile, the principle of determining uses´ optimal electric activities and electricity price algorithm is proposed.
  • Keywords
    power consumption; power system economics; pricing; Stackelberg strategy; approximate linear charge; bilateral linear punishment; bilateral nonlinear rewards; dynamic punishment mechanism; dynamic rewards; electricity charge strategy; electricity price algorithm; fixed class electricity price mechanism; nonlinear charge; optimal electric activities; power consumption; power supply-demand; unilateral linear punishment; unilateral nonlinear punishment; Educational institutions; Electricity; Power demand; Pricing; Supply and demand; Dynamic rewards and punishment mechanism; Electricity charge strategy; Expectations of electricity consumption; Stackelberg strategy; Users´ utility function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852461
  • Filename
    6852461