• DocumentCode
    1764982
  • Title

    Times-series modelling for the aggregate Great Britain wind output circa 2030

  • Author

    Sturt, A. ; Strbac, Goran

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • Volume
    7
  • Issue
    1
  • fYear
    2013
  • fDate
    41306
  • Firstpage
    36
  • Lastpage
    44
  • Abstract
    The authors present a four-season model representing the aggregate output of a possible British wind fleet circa 2030, suitable for providing synthetic wind time series or a statistical characterisation of the transitional behaviour at timescales of 1 h and above. The model is fitted to an aggregated power output time series derived from historic onshore anemometry data and shown to provide a good fit to both long-term and transitional statistics. The authors show that the use of a constant factor to extrapolate anemometer-height wind speeds to hub height leads to an excessive diurnal variation in the implied wind power output. They adjust the model parameters to compensate for this and to account for the offshore component that is not present in the raw data. The complete parameter set is presented.
  • Keywords
    anemometry; offshore installations; statistical analysis; time series; wind power plants; British wind fleet circa 2030; Great Britain wind output circa 2030; aggregated power output; anemometer-height wind speeds; four-season model; historic onshore anemometry data; hub height; long-term statistics; offshore component; statistical characterisation; synthetic wind time series; times-series modelling; transitional behaviour; transitional statistics; wind power output;
  • fLanguage
    English
  • Journal_Title
    Renewable Power Generation, IET
  • Publisher
    iet
  • ISSN
    1752-1416
  • Type

    jour

  • DOI
    10.1049/iet-rpg.2012.0040
  • Filename
    6483179