• DocumentCode
    2578065
  • Title

    In-lab research grid for optimization and control of wind and energy storage systems

  • Author

    Han, H. ; Brekken, T.K.A. ; von Jouanne, A. ; Bistrika, A. ; Yokochi, A.

  • Author_Institution
    Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    200
  • Lastpage
    205
  • Abstract
    The variability of wind power limits its grid penetration and increases costs. At high penetration levels, the variable output of wind requires utilities to dedicate much of their available reserve generation capacity to accommodate this variability. This paper presents research on improving wind energy integration through more effective coordination of traditional generation resources and energy storage systems (including analysis and control) that can optimize wind energy production while also increasing the predictability of wind farm output. This advanced research includes comprehensive simulations and experimental lab-grid implementation including renewable installations, traditional generation sources, energy storage technologies, power electronic converter control, and representative loads.
  • Keywords
    energy storage; optimisation; power control; power convertors; power generation control; power grids; wind power plants; energy storage system; grid penetration; in lab research grid; power electronic converter control; renewable installation; wind energy integration; wind energy production; wind farm; wind power; wind storage system; Artificial neural networks; Control systems; Energy storage; System-on-a-chip; Wind energy; Wind farms; Wind forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717790
  • Filename
    5717790