• DocumentCode
    2846787
  • Title

    Passivity-based robust control for power systems subject to wind power variability

  • Author

    Juhua Liu ; Krogh, B.H. ; Ydstie, B.E.

  • Author_Institution
    ABB US Corp. Res. Center at Raleigh, Raleigh, NC, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    4149
  • Lastpage
    4154
  • Abstract
    As wind generation becomes a significant portion of total energy production, wind power variability will introduce more variability in system frequency. This paper presents a method to improve primary control for frequency regulation in large-scale power systems with high wind power penetration. To assure system stability, a passivity-based framework is developed for power systems by introducing a storage function derived from the entropy of individual generators. Tellegen´s theorem is invoked to derive the storage function for the entire power network. Given the network parameters and the point of interconnection of the wind farm, a single generator is selected to balance wind power fluctuations. A passive H controller is synthesized for the selected generator by using a passive reduced-order model of the large-scale power system. Simulation results of a 9-bus test system show the effectiveness of the passive H controller. This work also suggests several directions for further research.
  • Keywords
    H control; electric generators; frequency control; power generation control; power system stability; robust control; wind power plants; 9-bus test system; Tellegen theorem; energy production; frequency regulation control; generator entropy; large-scale power systems; passive H controller; passive reduced-order model; passivity-based framework; passivity-based robust control; storage function; system stability; wind farm interconnection; wind generation; wind power fluctuations; wind power penetration; wind power variability; Entropy; Frequency control; Generators; Power system stability; Reduced order systems; Silicon; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5990788
  • Filename
    5990788