• DocumentCode
    1615265
  • Title

    An approximate model of wind turbine control systems for wind farm power control

  • Author

    Guo, Yi ; Hosseini, S. Hossein ; Tang, Choon Yik ; Jiang, John N.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Wind farm power control is a key technology for enabling reliable integration of large-scale wind generation into the power system. This paper addresses one of the challenges in wind farm power control. Specifically, we present a mathematical model which is capable of closely approximating the behavior of various wind turbine control systems. The model consists of linear dynamical and nonlinear static components, suitably connected so that it could capture both the steady-state and transient behaviors of wind turbine control systems experiencing changes in power commands and wind speed. A parameter identification scheme is also provided for systematic determination of the model parameters. Through simulation, the proposed model is tested on several wind turbine control systems reported in recent literature. The encouraging results obtained show that the proposed approximate model is useful for the design and analysis of a universal wind farm power controller.
  • Keywords
    parameter estimation; power control; power generation control; wind power plants; wind turbines; approximate model; large-scale wind generation; linear dynamical components; mathematical model; nonlinear static components; parameter identification; universal wind farm power controller; wind turbine control systems; Analytical models; Control systems; Mathematical model; Rotors; Steady-state; Wind farms; Wind turbines; Approximate model; power control; wind farm; wind turbine control system;
  • 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.2011.6038985
  • Filename
    6038985