• DocumentCode
    1639508
  • Title

    Integration of uncertainty information into power system operations

  • Author

    Makarov, Yuri V. ; Lu, Shuai ; Samaan, Nader ; Huang, Zhenyu ; Subbarao, Krishnappa ; Etingov, Pavel V. ; Ma, Jian ; Hafen, Ryan P. ; Diao, Ruisheng ; Lu, Ning

  • Author_Institution
    Pacific Northwest Nat. Lab., Richland, WA, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    13
  • Abstract
    Contemporary power systems face uncertainties coming from multiple sources, including forecast errors of load, wind and solar generation, uninstructed deviation and forced outage of traditional generators, and unscheduled loss of transmission lines. With increasing amounts of wind and solar generation being integrated into the system, these uncertainties have been growing significantly. It is critically important to build the knowledge of major sources of uncertainties, learn how to model them, and then incorporate this information into decision-making processes and power system operations, for better reliability and efficiency. This paper gives a comprehensive overview on the sources of uncertainties in power systems, their important characteristics and models, and approaches for integrating uncertainty information into system operations. It is primarily based on previous works conducted at the Pacific Northwest National Laboratory (PNNL).
  • Keywords
    decision making; power transmission lines; power transmission reliability; solar power; wind power; PNNL; Pacific Northwest National Laboratory; decision-making processes; load forecast errors; multiple sources; power system operations; power system reliability; solar generation; transmission lines; uncertainty information; unscheduled loss; wind generation; Clouds; Generators; Power systems; Real time systems; Solar radiation; Uncertainty; Wind forecasting; Economic Dispatch; Load Forecast Errors; Power System Balance; Power System Operations; Solar Generation Forecast Error; Uncertainty; Uninstructed Deviations; Unit Commitment; Wind Generation Forecast Error;
  • 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.2011.6039913
  • Filename
    6039913