• DocumentCode
    473491
  • Title

    Economic evaluation and risk measurement for generation investment based on interval numbers

  • Author

    Yi, Feng ; Tian Kuo ; Lin, Xiao ; Ming, Zeng

  • Author_Institution
    Sch. of Bus. Adm., North China Electron. Power Univ., Beijing
  • fYear
    2007
  • fDate
    3-6 Dec. 2007
  • Firstpage
    714
  • Lastpage
    718
  • Abstract
    The restructuring of power industry has increased uncertain factors for generation investment projects, and hence various risks. In particular, problems of investment decision-making arise from the random fluctuations of net cash flow and discount rate. Interval mathematics is introduced to economic evaluation of projects in this paper, establishing economic evaluation models based on interval net present value and interval internal rate of return respectively. These two models solve the problems of the fluctuations in net cash flow and discount rate to some extent Moreover, since uncertainty exists as one of the possible evaluation results according to the criteria in economic evaluation models, corresponding risk measurement models, based on probability theory in the paper, are established to provide investors with more reliable decision support.
  • Keywords
    decision making; electricity supply industry; investment; power generation economics; risk management; decision making; discount rate; internal rate of return; interval mathematics; net cash flow; power generation investment projects; power industry; probability theory; risk measurement; Decision making; Fluctuations; Fluid flow measurement; Investments; Mathematical model; Mathematics; Power generation; Power generation economics; Power industry; Reliability theory; Generation Investment; Interval IRR; Interval NPV; Risk Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2007. IPEC 2007. International
  • Conference_Location
    Singapore
  • Print_ISBN
    978-981-05-9423-7
  • Type

    conf

  • Filename
    4510119