• DocumentCode
    3492711
  • Title

    A statistical analysis of Cape Town wind profile

  • Author

    Tshibanda, Mbuyamba ; Pretorius, Jan-Harm C.

  • Author_Institution
    Fac. of Eng. & the Built Environ., Univ. of Johannesburg, Johannesburg, South Africa
  • fYear
    2013
  • fDate
    9-12 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The increased integration of wind power into electric power systems presents new challenges for effective planning and operation of these systems. The Weibull distribution is a widely used distribution, especially for modelling the random variable of wind speed. In this respect, the authors present a comparative analysis of a number of methods used for estimating Weibull parameters. Results for a real-world database are presented in a case study format. The techniques require historical wind speed data, collected over a particular time interval, to establish the parameters of wind speed distribution for a specific location, namely Cape Town, South Africa.
  • Keywords
    Weibull distribution; power generation planning; statistical analysis; wind power plants; Cape Town; South Africa; Weibull distribution; power generation planning; statistical analysis; wind power; wind profile; wind speed distribution; Databases; Maximum likelihood estimation; Probability density function; Shape; Weibull distribution; Wind power generation; Wind speed; Weibull distribution; Wind speed data; probability density function; wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AFRICON, 2013
  • Conference_Location
    Pointe-Aux-Piments
  • ISSN
    2153-0025
  • Print_ISBN
    978-1-4673-5940-5
  • Type

    conf

  • DOI
    10.1109/AFRCON.2013.6757612
  • Filename
    6757612