• DocumentCode
    2354567
  • Title

    Anemos.Rulez: Rule based extreme event prediction and alarming to support the integration of wind power

  • Author

    Waldl, Hans-Peter ; Brandt, Philipp

  • Author_Institution
    Overspeed GmbH & Co. KG, Oldenburg, Germany
  • fYear
    2011
  • fDate
    25-28 Sept. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we discuss the need to predict and alarm upcoming extreme events of the wind power domain, such as a sharp increase in wind power production or safety shut downs of turbines. These predictions are needed as a complement to daily operational wind power predictions to ensure grid stability. As there is no universal definition for these kind of extreme events, we describe important parameters for their definition and factors that influence these parameters. A tool for extreme event predictions, Anemos.Rulez, will be presented, including evaluation results from an application test case.
  • Keywords
    knowledge based systems; power engineering computing; power system stability; wind power plants; Anemos.Rulez; daily operational wind power predictions; grid stability; rule based extreme event prediction; safety shutdown; wind power domain; wind power production; Data models; Power system stability; Predictive models; Production; Wind farms; Wind power generation; Wind speed; Alarming; Extreme Events; Rule Based System; Wind Power Integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Application to Power Systems (ISAP), 2011 16th International Conference on
  • Conference_Location
    Hersonissos
  • Print_ISBN
    978-1-4577-0807-7
  • Electronic_ISBN
    978-1-4577-0808-4
  • Type

    conf

  • DOI
    10.1109/ISAP.2011.6082161
  • Filename
    6082161