• DocumentCode
    3239945
  • Title

    Modeling of wind turbine power curve

  • Author

    Raj, M. S Mohan ; Alexander, M. ; Lydia, M.

  • Author_Institution
    Dept. of Electr., Karunya Univ., Coimbatore, India
  • fYear
    2011
  • fDate
    1-3 Dec. 2011
  • Firstpage
    144
  • Lastpage
    148
  • Abstract
    Energy is available in two different alternatives, non-renewable (coal, fuel and natural gas) and renewable (solar, wind, hydro and wave) sources. Especially, after the industrial revolution in the nineteenth century, first coal and then fuel oil are used as primary energy sources for the needs of modern communities. As it is known, fossil fuels have limited potential, and at the current rate of exploitation they are expected to be depleted within the next centuries. This is one of the reasons why clean, sustainable and environmentally friendly alternative energy resources like wind, solar, etc are currently sought. This paper aims to characterize the power curve of the wind energy production and to estimate the power when a WTG operates between the cut-in wind speed and the rated wind speed. These are done by different methods and their performance is measured using the root mean square error(RMSE). Through the results, it is proved that cluster center estimation method is the best method among all of the other proposed methods.
  • Keywords
    mean square error methods; wind power plants; wind turbines; RMSE; cluster center estimation method; coal; fossil fuels; fuel oil; nonrenewable sources; renewable sources; root mean square error; wind energy production; wind turbine power curve modeling; Polynomials; Probabilistic logic; Wind energy; Wind power generation; Wind speed; Wind turbines; cluster center; cutin wind speed; power curve; rated wind speed; wind energy; wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - India (ISGT India), 2011 IEEE PES
  • Conference_Location
    Kollam, Kerala
  • Print_ISBN
    978-1-4673-0316-3
  • Type

    conf

  • DOI
    10.1109/ISET-India.2011.6145371
  • Filename
    6145371