• DocumentCode
    157581
  • Title

    Analysis of wide-area availability of wind generators during storm events

  • Author

    Macdonald, Hamish ; Hawker, Graeme ; Bell, Keith

  • Author_Institution
    Wind Energy Syst. Centre for Doctoral Training, Univ. of Strathclyde, Glasgow, UK
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    During high wind speed shutdown (HWSS) events, the power outputs of wind power plants may be subject to high ramp rates, causing issues for the System Operator (SO) in predicting total wind output, allocating adequate reserve levels and minimising balancing costs. As the timing of these events is difficult to predict, it is proposed that individual turbines may be used as probabilistic early warning indicators of HWSS events across sites, and by extension to a wide geographical area. The shut-down history of two separate wind farms across Scotland is analysed to determine the likelihood and impact of such events. It is shown that in most cases, HWSS does not result in the full loss of availability. Factors such as turbine elevation and mean wind exposure are key indicators of the order of shut-down across a site. The suggestion that sites could be used as early warning indicators for the pattern of HWSS across a transmission zone is difficult to characterise and for the two wind farms studied, prediction was not consistent.
  • Keywords
    storms; wind power plants; wind turbines; HWSS events; SO; Scotland; balancing cost minimisation; early warning indicators; high wind speed shutdown events; storm events; system operator; wide-area availability; wind farms; wind generators; wind power plants; wind turbines; Availability; Storms; Wind farms; Wind power generation; Wind speed; Wind turbines; Forecasting; High Wind Speed Shutdown; Wind Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
  • Conference_Location
    Durham
  • Type

    conf

  • DOI
    10.1109/PMAPS.2014.6960619
  • Filename
    6960619