• DocumentCode
    1620689
  • Title

    Wind power forecasting, unit commitment, and electricity market operations

  • Author

    Botterud, A. ; Zhou, Z. ; Wang, J. ; Bessa, R.J. ; Keko, H. ; Sumaili, J. ; Miranda, V.

  • Author_Institution
    Decision & Inf. Sci. Div., Argonne Nat. Lab., Argonne, IL, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper we discuss the use of wind power forecasting in electricity market operations. In particular, we demonstrate how probabilistic forecasts can contribute to address the uncertainty and variability in wind power. We focus on efficient use of forecasts in the unit commitment problem and discuss potential implications for electricity market operations.
  • Keywords
    load forecasting; power generation dispatch; power generation scheduling; power markets; wind power; electricity market operations; unit commitment; wind power forecasting; Educational institutions; Electricity supply industry; Forecasting; Power systems; Probabilistic logic; Wind forecasting; Wind power generation; Wind power; electricity markets; operating reserves; probabilistic forecasts; unit commitment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039192
  • Filename
    6039192
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1620689