• DocumentCode
    2068029
  • Title

    Look-ahead dispatch with forecast uncertainty and infeasibility management

  • Author

    Yingzhong Gu ; Le Xie

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    We propose a framework of look-ahead dispatch which considers forecast uncertainty and infeasibility management. Two major advantages of the framework are demonstrated: 1) economic performance improvement under the presence of forecast uncertainty; and, 2)feasibility enhancement of the dispatch problem. In the look-ahead dispatch framework, a weighted predictive scheduling (WPS) technique is proposed to relieve the negative impacts on dispatch due to wind forecast uncertainty in future steps. Look-ahead security management (LSM) is introduced, which is a technique to identify and quantify potential infeasibility of the dispatch in advance. The LSM technique is shown to be capable of working out an optimal recovery plan for future violation of system security. Finally, the proposed techniques are illustrated in a modified 24 Bus Reliability Test System.
  • Keywords
    load dispatching; power generation economics; power generation reliability; power generation scheduling; power system management; power system security; wind power plants; 24 bus reliability test system; LSM technique; WPS technique; infeasibility management; look-ahead dispatch; look-ahead security management; system security; weighted predictive scheduling technique; wind forecast uncertainty; Coal; Economics; Energy storage; Generators; Security; Uncertainty; Wind forecasting; Look-ahead dispatch; and relaxing variables; look-ahead security management; weighted predictive scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345643
  • Filename
    6345643