• DocumentCode
    135590
  • Title

    Data sensitivities for variable renewable energy curtailment estimation

  • Author

    Dillon, Jeremy ; O´Malley, Mark

  • Author_Institution
    Electr. Res. Centre, Univ. Coll. Dublin, Dublin, Ireland
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    As the penetration of variable renewable production increases on systems, the potential need to curtail the output of variable renewables to ensure system integrity increases. The need for these curtailments is primarily due to three factors: firstly, the need for system balance, secondly the need for sufficient system services such as inertia and lastly, as a result of congestion arising from limitations of the transmission network. This paper presents a methodology for modeling these types of curtailments in production cost studies. The methodology is applied to the power system of Ireland and examines the sensitivity of curtailment estimates to spatial and temporal wind data.
  • Keywords
    costing; power generation economics; renewable energy sources; wind power plants; Ireland; curtailment estimate sensitivity; curtailment modeling; data sensitivities; power system; production cost studies; spatial wind data; system balance; system integrity; system services; temporal wind data; transmission network; variable renewable energy curtailment estimation; variable renewable production penetration; Power system stability; Production; Stability analysis; Time series analysis; Wind forecasting; Wind power generation; security constrained unit commitment; variable renewables; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939480
  • Filename
    6939480