• DocumentCode
    2047235
  • Title

    Robust bidding strategy for wind power plants and energy storage in electricity markets

  • Author

    Thatte, A.A. ; Viassolo, D.E. ; 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
    This paper explores a robust optimization-based bidding strategy for operating a wind farm in combination with energy storage devices in electricity markets. Through coordination with moderate capacity of energy storage, variable wind resources can be utilized in multi-time-scale electricity market operations, as opposed to being utilized only as real-time non-dispatchable energy producers. Given the inherent uncertainties in electricity market prices and available wind generator output, a robust optimization-based approach is formulated to determine the bidding strategy. Case studies on day-ahead and hour-ahead markets show that robust-optimization based bidding strategy provides computationally practical and economically efficient approach to operating wind farms and co-located storage when uncertainties are severe.
  • Keywords
    optimisation; power generation economics; power markets; wind power plants; day-ahead markets; electricity markets; energy storage devices; hour-ahead markets; multi-ime-scale electricity market operations; real-time nondispatchable energy producers; robust bidding strategy; robust optimization-based bidding strategy; wind farm; wind generator; wind power plants; Electricity; Energy storage; Optimization; Robustness; Uncertainty; Wind farms; Wind forecasting; Electricity market; energy storage; robust optimization; virtual power plants; wind power;
  • 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.2012.6344870
  • Filename
    6344870