• DocumentCode
    2532753
  • Title

    Wind speed modeling and energy production simulation with Weibull sampling

  • Author

    Yu, Zuwei ; Tuzuner, Akiner

  • Author_Institution
    Energy Center, Purdue Univ., West Lafayette, IN
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes the maximum likely estimation (MLE) method and the method of moments (MOM) for wind speed modeling. The Weibull wind speed distribution models are fitted using the two methods and the wind data from a tall tower in the Midwestern United States, with seasonal wind speed variations also considered in the modeling. It turned out that both methods provide very similar results with comparable accuracy. The Monte Carlo simulation is used for obtaining expected wind energy production using a Weibull sampling technique.
  • Keywords
    Monte Carlo methods; Weibull distribution; maximum likelihood estimation; method of moments; wind power plants; Midwestern United States; Monte Carlo simulation; Weibull sampling; energy production simulation; maximum likely estimation method; method of moments; speed distribution models; wind energy production; wind speed modeling; Maximum likelihood estimation; Message-oriented middleware; Moment methods; Power system modeling; Power system simulation; Production systems; Sampling methods; Weibull distribution; Wind energy; Wind speed; MLE; MOM; Weibull distribution; Wind speed; energy production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596166
  • Filename
    4596166