• DocumentCode
    1055470
  • Title

    A Model for Efficient Consumer Pricing Schemes in Electricity Markets

  • Author

    Çelebi, Emre ; Fuller, J. David

  • Author_Institution
    Dept. of Manage. Sci., Waterloo Univ., Ont.
  • Volume
    22
  • Issue
    1
  • fYear
    2007
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    Suppliers in competitive electricity markets regularly respond to prices that change hour by hour or even more frequently, but most consumers respond to price changes on a very different time scale, i.e., they observe and respond to changes in price as reflected on their monthly bills. In this paper, we examine mixed complementarity programming models of equilibrium that can bridge the speed of response gap between suppliers and consumers yet adhere to the principle of marginal cost pricing of electricity. We develop a computable equilibrium model to estimate ex ante time-of-use (TOU) prices for a retail electricity market. It is intended that the proposed models would be useful 1) for jurisdictions (e.g., Ontario) where consumers´ prices are regulated, but suppliers offer into a competitive market, 2) for forecasting forward prices in unregulated markets, and 3) in evaluation and welfare analysis of the policies regarding regulated TOU pricing compared to regulated single pricing
  • Keywords
    power markets; pricing; competitive electricity markets; consumer pricing schemes; equilibrium model; marginal cost pricing; mixed complementarity programming models; price forecasting; time-of-use price estimation; Bridges; Costs; Economic forecasting; Electricity supply industry; Energy consumption; Forward contracts; Load management; Predictive models; Pricing; Regulators; Electricity markets; equilibrium modeling; mixed complementarity problem; regulated pricing; time-of-use (TOU) pricing;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2006.888956
  • Filename
    4077096