• DocumentCode
    1715234
  • Title

    Electricity Markets under Uncertainty

  • Author

    Alvarez, Juan ; Ponnambalam, Kumaraswamy ; Quintana, Victor H.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Waterloo, Waterloo, ON
  • fYear
    2007
  • Firstpage
    966
  • Lastpage
    970
  • Abstract
    In the ideal world, electricity markets are solved under the assumption that all quantities are deterministic. This is the equivalent of assuming that one can perfectly predict future levels of demand and supply. In the real world, the biggest source of uncertainty comes precisely from demand and supply levels. A clear understanding of the economical implications of randomness from supply and demand in electricity markets is still lacking. Random variations of any kind introduce risk. Therefore, one would be interested in somehow minimizing the risk when solving an electricity market. This paper explains the economical implications of minimizing the risk introduced by supply and demand uncertainties. The risk minimization technique used in this work is based on the well known mean-variance Markowitz theory.
  • Keywords
    minimisation; power markets; random processes; risk management; demand uncertainties; electricity markets; mean-variance Markowitz theory; random variations; risk minimization technique; supply uncertainties; Costs; Design engineering; Economic forecasting; Electricity supply industry; Fuel economy; Power generation economics; Power system economics; Risk management; Supply and demand; Uncertainty; Mean-variance Markowitz theory; random supply and demand curves; risk minimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2007 IEEE Lausanne
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2189-3
  • Electronic_ISBN
    978-1-4244-2190-9
  • Type

    conf

  • DOI
    10.1109/PCT.2007.4538446
  • Filename
    4538446