• DocumentCode
    2988473
  • Title

    Research on Multistep Electricity Price Model with Bidirectional Regulation for Large Consumers

  • Author

    Lei, Xia ; Yu, Dong-xian ; Bai, Xiao-li

  • Author_Institution
    Sch. of Electr. Inf., Xihua Univ., Chengdu, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    4114
  • Lastpage
    4117
  • Abstract
    A multistep electricity price model with bidirectional regulation is proposed for large adjustable consumers in the area with abundant hydropower. In order to guide large consumers to regulate electricity consumption manners for resource utilization, down-steps price in high water period and up-steps price in low flow period are suggested. In the proposed model, the objective is to maximize power consumption in high water period and minimize power in low flow period and the constraints include acceptable index of consumers, generation capacity and cost and transmission capability. Monte Carlo simulation is used to calculate the optimal partition of price steps. The results of simulation show that the model can mitigate the imbalance between supply and demand in high and low water period.
  • Keywords
    demand side management; hydroelectric power; power consumption; power generation economics; pricing; abundant hydropower; acceptable index of consumers; bidirectional regulation; cost and transmission capability; cost capability; demand side management; electricity consumption; generation capacity; large adjustable consumers; multistep electricity price model; power consumption; resource utilization; transmission capability; Benchmark testing; Elasticity; Electricity; Hydroelectric power generation; Power demand; Water resources; Monte Carlo simulation; bidirectional regulation; high and low water period; large consumers; multistep electricity price; price elasticity of demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.1000
  • Filename
    5630303