• DocumentCode
    3151831
  • Title

    Analytical assessment of wind power generation asset in restructured electricity industry

  • Author

    Zhou, Hui ; Hou, Yunhe ; Wu, Yaowu ; Yi, Haiqiong ; Mao, Chengxiong ; Chen, Gonggui

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Huazhong
  • fYear
    2007
  • fDate
    4-6 Sept. 2007
  • Firstpage
    1086
  • Lastpage
    1092
  • Abstract
    An analytic approach using real option theory is proposed in this paper for evaluation of wind power generation asset investment in restructured electricity industry. The model for the mean reversion process with long-term periodic mean is employed to describe the special characteristics of electricity price such as fluctuation, uncertainty and periodicity. Analytic expressions for wind power generation output are derived. Based on the established price model and output model, the wind power generation asset to be invested is evaluated by adopting the approach of spark spread real option. Financial tools, such as Value at Risk (VaR) and Conditional Value at Risk (CVaR), are applied for risk assessment. The validity of the proposed method is illustrated by numerical simulation tests.
  • Keywords
    electricity supply industry; power generation economics; risk management; wind power plants; conditional value at risk; electricity price; fluctuation; investment; long-term periodic mean; periodicity; restructured electricity industry; risk assessment; uncertainty; wind power generation; Costs; Fluctuations; Investments; Power markets; Renewable energy resources; Sparks; Wind energy; Wind energy generation; Wind farms; Wind power generation; Asset Evaluation; CVaR; Mean Reversion; Power Market; Wind Power Generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
  • Conference_Location
    Brighton
  • Print_ISBN
    978-1-905593-36-1
  • Electronic_ISBN
    978-1-905593-34-7
  • Type

    conf

  • DOI
    10.1109/UPEC.2007.4469102
  • Filename
    4469102