• DocumentCode
    1718470
  • Title

    Wind power short-term forecasting system

  • Author

    Dica, C. ; Dica, Camelia-Ioana ; Vasiliu, Daniela ; Comanescu, Gh ; Ungureanu, Monica

  • Author_Institution
    SC C-Tech SRL, Constanta, Romania
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The Romanian National Energy strategy is requesting that renewables quota to reach 33% of consumption in 2010 and 38% in 2020. One of the most challenging issues facing wind energy today is its maximal and reliable integration in the power markets. Due to transport/distribution grid lack of flexibility and high level of concentration in Dobrogea region of large wind developments the access to the grid in Romania is proving difficult. This paper explores the role of short-term forecasting of wind power in Dobrogea for the successful integration of large wind farm capacity (over 2,000 MW) into a single injection point.
  • Keywords
    load forecasting; power grids; power markets; power system reliability; wind power; wind power plants; Dobrogea region; Romanian National Energy strategy; distribution grid; power markets; renewables quota; transport grid; wind energy; wind farm; wind power short-term forecasting system; Economic forecasting; Power generation; Power generation economics; Power system economics; Power system modeling; Predictive models; Weather forecasting; Wind energy; Wind energy generation; Wind forecasting; Forecasting; Network operating systems; Prediction methods; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5281941
  • Filename
    5281941