Model-based control of wind turbines: look-ahead approach

A new composite turbine control architecture that consists of feedforward and feedback parts based on the upwind speed measurements and wind speed measurements at the turbine site, respectively, is described. The algorithm starts with preprocessing of a low-rate sampled upwind speed via the spline interpolation method. A run-ahead model driven by the signals from a preprocessing block models the turbine response and produces the feedforward part of turbine controller. The turbine control system is driven by both the feedforward part that comes from the run-ahead model and feedback part based on the wind speed measured at the turbine site. It is proved that the controller is stable despite the difference between the time-shifted preview measurements (expected wind speed) and the actual wind speed measured at the turbine site. Existing industrial proportional–integral–derivative turbine controllers can easily be upgraded with the preview part of the control architecture described in this article. Improved blade load regulation via the blade pitch angle control guarantees a hard upper bound on the flapwise bending moment. The results are confirmed by simulation with a wind speed record from the Hönö turbine outside Gothenburg, Sweden.

[1]  Stephen P. Boyd,et al.  Load reduction of wind turbines using receding horizon control , 2011, 2011 IEEE International Conference on Control Applications (CCA).

[2]  Neil Kelley,et al.  Measurements of Wind and Turbulence Profiles With Scanning Doppler Lidar for Wind Energy Applications , 2008, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[3]  Alexander Stotsky,et al.  Proactive control of wind turbine with blade load constraints , 2012, J. Syst. Control. Eng..

[4]  Stephen P. Boyd,et al.  Wind turbine pitch optimization , 2011, 2011 IEEE International Conference on Control Applications (CCA).

[5]  S. Grossmann The Spectrum of Turbulence , 2003 .

[6]  Kathryn E. Johnson,et al.  LIDAR-based FX-RLS feedforward control for wind turbine load mitigation , 2011, Proceedings of the 2011 American Control Conference.

[7]  Lucy Y. Pao,et al.  LIDAR Wind Speed Measurements of Evolving Wind Fields , 2012 .

[8]  A. Stotsky,et al.  Recursive spline interpolation method for real time engine control applications , 2003, 2003 European Control Conference (ECC).

[9]  David Schlipf,et al.  Advanced controller research for multi-MW wind turbines in the UPWIND project , 2012 .

[10]  Peter Fogh Odgaard,et al.  Robust LMI-based control of wind turbines with parametric uncertainties , 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

[11]  Zhe Song,et al.  Anticipatory Control of Wind Turbines With Data-Driven Predictive Models , 2009, IEEE Transactions on Energy Conversion.

[12]  Kathryn E. Johnson,et al.  A tutorial on the dynamics and control of wind turbines and wind farms , 2009, 2009 American Control Conference.

[13]  L.Y. Pao,et al.  Control of variable-speed wind turbines: standard and adaptive techniques for maximizing energy capture , 2006, IEEE Control Systems.

[14]  Ervin Bossanyi,et al.  Wind Energy Handbook , 2001 .

[15]  Niels Kjølstad Poulsen,et al.  Model Predictive Control with Constraints of a Wind Turbine , 2007 .

[16]  Ola Carlson,et al.  Drift, utveckling och dokumentation vid Chalmers provstation för vindenergiforskning , 2009 .

[17]  Alan Wright,et al.  The use of preview wind measurements for blade pitch control , 2011 .