• DocumentCode
    630556
  • Title

    Simple model for describing and estimating wind turbine dynamic inflow

  • Author

    Knudsen, T. ; Bak, Thomas

  • Author_Institution
    Sect. of Autom. & Control, Aalborg Univ., Aalborg, Denmark
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    640
  • Lastpage
    646
  • Abstract
    Wind turbines operate with sudden change in pitch angle, rotor or wind speed. In such cases the wake behind the turbine, achieve steady state conditions only after a certain delay. This phenomenon is commonly called dynamic inflow. There are many models for dynamic inflow. The most accurate use a method that can be characterised as the blade element momentum method plus a dynamic equation for the induction factor. This method then needs calculations along the blade for a number of sections including numerical solution of equations. This is numerical demanding. The simplest models amounts to placing a lead-lag filter after rotor torque and thrust calculated from static tables of the power and thrust coefficients. The filter constants will then vary with average wind speed. The filtered versions of torque and thrust are then an approximate modelling of the dynamic inflow. The dynamic inflow model suggested here places itself in between the most complex and the most simple both in accuracy, numerical demands and physical appeal. The suggested models behavior is demonstrated by simulation and the usefulness for extended Kalman filtering is assessed both via simulated data and real full scale turbine data.
  • Keywords
    Kalman filters; aerodynamics; approximation theory; rotors; torque; wind turbines; approximate modelling; blade element momentum method; extended Kalman filtering; pitch angle; rotor; torque; wakes; wind speed; wind turbine dynamic inflow estimation; Aerodynamics; Mathematical model; Numerical models; Rotors; Torque; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6579909
  • Filename
    6579909