• DocumentCode
    1315529
  • Title

    Setting the Operating Reserve Using Probabilistic Wind Power Forecasts

  • Author

    Matos, Manuel A. ; Bessa, R.J.

  • Author_Institution
    Inst. de Eng. de Sist. e Comput. do Porto (INESC Porto), Univ. of Porto, Porto, Portugal
  • Volume
    26
  • Issue
    2
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    594
  • Lastpage
    603
  • Abstract
    In power systems with a large integration of wind power, setting the adequate operating reserve levels is one of the main concerns of system operators (SO). The integration of large shares of wind generation in power systems led to the development of new forecasting methodologies, including probabilistic forecasting tools, but management tools able to use those forecasts to help making operational decisions are still needed. In this paper, a risk evaluation perspective is used, showing that it is possible to describe the consequences of each possible reserve level through a set of risk indices useful for decision making. The new reserve management tool (RMT) described in the paper is intended to support the SO in defining the operating reserve needs for the daily and intraday markets. Decision strategies like setting an acceptable risk level or finding a compromise between economic issues and the risk of loss of load are explored. An illustrative example based on the Portuguese power system demonstrates the usefulness and efficiency of the tool.
  • Keywords
    decision making; load forecasting; power generation economics; power markets; wind power plants; daily market; decision making; intraday market; management tools; operating reserve levels; operational decisions; probabilistic wind power forecasts; reserve management tool; risk evaluation; system operators; wind generation; Load modeling; Loss measurement; Power systems; Probabilistic logic; Uncertainty; Wind forecasting; Wind power generation; Multicriteria decision; operating reserve; operating risk; uncertainty; wind power forecast;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2065818
  • Filename
    5565529