• DocumentCode
    1575720
  • Title

    Evaluation of generation expansion investment under competitive market environment

  • Author

    Su, Jifeng ; Wu, Felix F.

  • Author_Institution
    Centre for Electr. Energy Syst., Hong Kong Univ., China
  • fYear
    2005
  • Firstpage
    2136
  • Abstract
    This paper proposes a new approach of generation expansion planning and its risk assessment under the competitive market environment. Different from the traditional probabilistic production costing (PPC) method under monopoly environment which is based on the deterministic generator loading priority list, the uncertainties of biddings for long-term contracts in electricity market are introduced into the new model. Based on the probability distribution of the surplus on bidding price over marginal cost, the distribution of expected generated energy for a given period can be achieved to calculate the profit of a generator. In order to manage the risks of the investment on generation expansion project, a risk assessment tool called conditional value at risk (CVaR) is used. It gives the investors an intuitionistic criterion for making investment decision. A numerical example is given in this paper to valid the method.
  • Keywords
    investment; numerical analysis; power generation economics; power generation planning; power markets; pricing; risk management; statistical distributions; bidding price; competitive market; conditional value at risk; deterministic generator loading; electricity market; expansion planning; generation expansion investment; investment decision; long-term contracts; probability distribution; risk assessment; Contracts; Costing; Electricity supply industry; Investments; Monopoly; Power generation; Probability distribution; Production; Risk management; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2005. IEEE
  • Print_ISBN
    0-7803-9157-8
  • Type

    conf

  • DOI
    10.1109/PES.2005.1489331
  • Filename
    1489331