Advertisement

Case Study #8: Wind Turbine Control Design

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

Abstract

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.

Keywords

Wind Turbine Wind Turbine Model Shaft Torque Aerodynamic Torque Blade Pitch Angle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 13.
    Robinett III, R.D., Wilson, D.G.: Exergy and irreversible entropy production thermodynamic concepts for nonlinear control design. Int. J. Exergy 6(3), 357–387 (2009) Google Scholar
  2. 66.
    Robinett III, R.D., Wilson, D.G.: Exergy and entropy thermodynamic concepts for nonlinear control design. In: ASME 2006 International Mechanical Engineering Congress & Exposition, Chicago, IL, November 5–10, 2006 Google Scholar
  3. 95.
    Slotine, J.-J.E., Li, W.: Applied Nonlinear Control. Prentice Hall, Englewood Cliffs (1991) MATHGoogle Scholar
  4. 140.
    Ekelund, T.: Modeling and linear quadratic optimal control of wind turbines. Ph.D. Thesis, Chalmers University of Technology, Sweden (1997) Google Scholar
  5. 141.
    Connor, B., Leithead, W.E., Grimble, M.J.: LQG control of a constant speed horizontal axis wind turbine. In: Proceedings of the Third IEEE Conference on Control Applications, Glasgow, Scotland, August 24–26, 1994, vol. 1, pp. 251–252 (1994) CrossRefGoogle Scholar
  6. 142.
    Abdin, E.S., Xu, W.: Control design and dynamic performance analysis of a wind turbine-induction generator unit. IEEE Trans. Energy Convers. 15(1), 91–96 (2000) CrossRefGoogle Scholar
  7. 143.
    Wright, A.D., Fingersh, L.J.: Advanced control design for wind turbines, Part I: Control design, implementation, and initial tests. NREL Technical Report NREL/TP-500-42437 (March 2008) Google Scholar
  8. 144.
    Bongers, P.: Modeling and identification of flexible wind turbines and a factorization approach to robust control. Ph.D. Thesis, Delft University of Technology, Netherlands (1994) Google Scholar
  9. 145.
    Connor, D., Iyer, S.N., Leithead, W.E., Grimble, M.J.: Control of a horizontal axis wind turbine using H control. In: Proceedings of the First IEEE Conference on Control Applications, Dayton, OH, September 13–16, 1992 Google Scholar
  10. 146.
    Battista, H.D., Mantz, R.J., Christiansen, C.F.: Dynamical sliding mode power control of wind driven induction generators. IEEE Trans. Energy Convers. 15(14), 451–457 (2000) CrossRefGoogle Scholar
  11. 147.
    Song, Y.D., Dhinakaran, B., Bao, X.Y.: Variable speed control of wind turbines using nonlinear and adaptive algorithms. J. Wind Eng. Ind. Aerodyn. 85, 293–308 (2000) CrossRefGoogle Scholar
  12. 148.
    Boukhezzar, B., Siguerdidjane, H., Hand, M.: Nonlinear control of variable speed wind turbines for load reduction and power optimization. In: 44th AIAA Aerospace Science Meeting and Exhibit, Reno, NV, January 2006 Google Scholar
  13. 149.
    Leithead, W.E., Connor, D.: Control of variable speed wind turbines: design task. Int. J. Control 73, 1173–1188 (2000) MathSciNetMATHCrossRefGoogle Scholar
  14. 150.
    Jonkman, B.J., Buhl, M.L. Jr.: TurbSim user’s guide for version 1.40. NREL Technical Report, NREL/TP-xxx (September 2008) Google Scholar
  15. 151.
    Jonkman, J.M., Buhl, M.L. Jr.: FAST user’s guide. NREL Technical Report, NREL/TP-500-35816 (July 2004) Google Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Sandia National LaboratoriesAlbuquerqueUSA

Personalised recommendations