• DocumentCode
    1874926
  • Title

    Validating wind field models for power system impact studies

  • Author

    Plumley, C. ; Hill, D. ; McMillan, David ; Bell, Keith ; Infield, David

  • Author_Institution
    Univ. of Strathclyde, Glasgow, UK
  • fYear
    2012
  • fDate
    8-9 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    To integrate wind power into the electrical power system studies need to be made of its impact. Wind plants are stochastic in nature and this makes them differ from traditional plants. One method to model the stochastic nature of wind plants is to create a wind field model and simulate wind data that can then be used to determine power outputs. There are a large number of models available, however often these models are not adequately validated. This paper proposes a number of criteria that all wind field models should be validated against and the methods that can be used to do this.
  • Keywords
    wind power plants; electrical power system impact studies; wind data simulation; wind field model validation; wind plant; power system impact; wind resource;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
  • Conference_Location
    Hangzhou
  • Electronic_ISBN
    978-1-84919-673-4
  • Type

    conf

  • DOI
    10.1049/cp.2012.1766
  • Filename
    6493085