• DocumentCode
    2471400
  • Title

    Investment decision making in a deregulated electric industry using stochastic dominance

  • Author

    Prina, José

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Pontificia Univ. Catolica de Chile, Santiago, Chile
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    546
  • Lastpage
    551
  • Abstract
    This article focuses on investment on capacity expansion in a deregulated electric industry, under conditions of uncertainty. Particularly, it describes a framework for the application of the concepts of stochastic dominance to the investment decision making process. The Chilean electricity market case is taken as a general framework. After briefly describing its main characteristics, it is discussed how to obtain the probability distribution of the net present value (NPV) of an investment in a new generating plant, using a long term planning model. Having the NPV distribution, and information about investors´ risk attitude, stochastic dominance concepts can be applied to complement the investment decision making process. The most interesting aspect regarding the methodology discussed is that it takes into consideration the whole distribution of returns from an investment, not relying just on the expected NPV, or a particular measure of risk. Nevertheless, stochastic dominance produces only a partial ordering of investment alternatives
  • Keywords
    electricity supply industry; investment; power system economics; power system planning; probability; risk management; stochastic processes; Chilean electricity market; capacity expansion; deregulated electric industry; investment decision making; investment decision making process; investors´ risk attitude; long term planning model; net present value; new generating plant; probability distribution; stochastic dominance; stochastic dominance concepts; uncertain conditions; Decision making; Electricity supply industry; Electricity supply industry deregulation; Hydroelectric power generation; Investments; Power generation; Power system management; Production; Stochastic processes; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering Management Society, 2000. Proceedings of the 2000 IEEE
  • Conference_Location
    Albuquerque, NM
  • Print_ISBN
    0-7803-6442-2
  • Type

    conf

  • DOI
    10.1109/EMS.2000.872563
  • Filename
    872563