Enhanced energy capture of wind turbines by exact output regulation

We propose a new strategy for wind turbine's generator torque control to enhance the overall wind energy capture and fatigue loads mitigation by using the information provided by light detection and ranging (LIDAR) system. Numerical time-series of wind speed information generated by LIDAR are used to obtain closed-form mathematical models for the upcoming wind signal and are employed within the exact output regulation control architecture. Simulation studies employing the FAST models in operating conditions below the turbine's rated wind speed show that energy capture can be improved while preserving or even reducing the tower fatigue load measures.

[1]  Alan Wright,et al.  Adding Feedforward Blade Pitch Control for Load Mitigation in Wind Turbines: Non-Causal Series Expansion, Preview Control, and Optimized FIR Filter Methods , 2011 .

[2]  Mark J. Balas,et al.  Disturbance Tracking Control Theory with Application to Horizontal Axis Wind Turbines , 1998 .

[3]  Ali Saberi,et al.  Control of Linear Systems with Regulation and Input Constraints , 2000 .

[4]  David Schlipf,et al.  Prospects of a collective pitch control by means of predictive disturbance compensation assisted by wind speed measurements , 2008 .

[5]  Kathryn E. Johnson,et al.  Comparison of Strategies for Enhancing Energy Capture and Reducing Loads Using LIDAR and Feedforward Control , 2013, IEEE Transactions on Control Systems Technology.

[6]  Rudibert King,et al.  Combined Feedback–Feedforward Control of Wind Turbines Using State-Constrained Model Predictive Control , 2013, IEEE Transactions on Control Systems Technology.

[7]  Cole Boulevard,et al.  Disturbance Tracking and Blade Load Control of Wind Turbines in Variable-Speed Operation , 2003 .

[8]  B. Jonkman Turbsim User's Guide: Version 1.50 , 2009 .

[9]  Neil Kelley,et al.  Model Predictive Control Using Preview Measurements From LIDAR y , 2011 .

[10]  Dirk Söffker,et al.  Advanced Control Design for Wind Turbines , 2011 .

[11]  Masayoshi Tomizuka,et al.  Design of Digital Feedforward/Preview Controllers for Processes With Predetermined Feedback Controllers , 1980 .

[12]  David Schlipf,et al.  Nonlinear model predictive controller design for extreme load mitigation in transition operation region in wind turbines , 2015, 2015 IEEE Conference on Control Applications (CCA).

[13]  David Schlipf,et al.  Nonlinear model predictive control of wind turbines using LIDAR , 2013 .

[14]  J. Jonkman,et al.  Definition of a 5-MW Reference Wind Turbine for Offshore System Development , 2009 .

[15]  Kathryn E. Johnson,et al.  FX-RLS-Based Feedforward Control for LIDAR-Enabled Wind Turbine Load Mitigation , 2012, IEEE Transactions on Control Systems Technology.

[16]  F. Dunne,et al.  LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines , 2011 .

[17]  Torben Mikkelsen,et al.  Lidar wind speed measurements from a rotating spinner , 2010 .

[18]  Gijs van Kuik,et al.  The Lanchester-Betz-Joukowsky Limit , 2007 .

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

[20]  A. D. Wright,et al.  Modern Control Design for Flexible Wind Turbines , 2004 .

[21]  Mark J. Balas,et al.  Periodic Disturbance Accommodating Control for Blade Load Mitigation in Wind Turbines , 2003 .