Case Study #8: Wind Turbine Control Design

  • Rush D. RobinettIII
  • David G. Wilson
Part of the Understanding Complex Systems book series (UCS)


In Chap. 13, HSSPFC is used to develop a new nonlinear/adaptive power flow control strategy for below-rated power control of variable speed wind turbines. Fundamentally, the new controller is designed to optimize both stability and performance criteria. Numerical results demonstrate that the nonlinear/adaptive power flow control increases efficiency, extracting more power when compared to a conventional control strategy. In addition, the new controller incorporates the ability to reject disturbances and operate with measurement noises. To maximize wind power extraction, a variable speed wind turbine should operate near its optimal performance capabilities. Traditionally, generator torque is used as a control input to improve wind energy capture by forcing the wind turbine to stay close to the maximum energy capture point. However, these current control techniques do not take into account turbine dynamics and stochastic nature of the wind while lacking robustness to disturbances which directly lead to power losses. In an effort to address these deficiencies, a nonlinear/adaptive power flow control approach for variable speed wind turbines is proposed to optimize the wind energy capture in below-rated power operation while minimizing the transient loads. A nonlinear aeroelastic model of the wind turbine is first developed. Next, a nonlinear reference model is developed that is based on optimal energy capture. Then a nonlinear feedback control algorithm is designed for which the parameters are made adaptive to accommodate robustness to variations in the dynamics. This new controller is compared to a conventional controller, and the numerical results are included for rotor speed and wind turbine power responses.


Wind Turbine Wind Turbine Model Shaft Torque Aerodynamic Torque Blade Pitch Angle 
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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Sandia National LaboratoriesAlbuquerqueUSA

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