• DocumentCode
    3476724
  • Title

    The impact of wind forecasting in power system reliability

  • Author

    Zhang, Yutong ; Chan, Ka Wing

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    2781
  • Lastpage
    2785
  • Abstract
    With increasing wind generation into the existing power system, research into the impact in system reliability with significant wind penetration has become a vital challenge. Wind is perfect to deal with energy security and environment concerns, but its variability and average predictability may cause operation and reliability problems, which need more actions and better services. A robust tool for wind power forecasting will improve the wind power integration in both economic and technical aspects. This paper evaluates the techniques for wind power forecast, and proposes a practical short term wind power prediction modeling with ARMA model. Furthermore, the expected impacts for wind power forecasting with improved accuracy are specified and analyzed. Preliminary results illustrate that larger amount of wind energy on the grid and optimized integration of wind power need to be supported by using more accurate wind forecasting tools.
  • Keywords
    autoregressive moving average processes; power system reliability; statistical analysis; wind power; wind power plants; ARMA model; autoregressive moving average process; power system reliability; statistical analysis; wind generation; wind power forecasting; wind power prediction modeling; Economic forecasting; Power generation; Power system reliability; Power system security; Predictive models; Robustness; Wind energy; Wind energy generation; Wind forecasting; Wind power generation; forecasting; optimization; reliability; statistical model; wind generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523883
  • Filename
    4523883