Individual Pitch Control for Wind Turbine Load Reduction Including Wake Modeling

This paper presents an investigation on improving individual pitch control (IPC) for wind turbine load reduction for Region 3 operation with the wake interaction included under the context of wind farm operation. The Larsen wake model is applied for composing the rotor wind profile for downstream turbines under wake interaction, and the simple Jensen model is also described for comparison. The switched controllers were then designed based on the composite wind profile. The wind profile of the turbine wake was generated by modifying the NREL's TurbSim codes. The state-space models of wind turbine were obtained via linearization of wind turbine model available in the NREL's FAST. In particular, in order to obtain more accurate state-space models for IPC design, equivalent circular wind profile was generated so as to better determine the local pitch reference. Based on such models, IPC controllers were designed following the disturbance accommodating control (DAC) and periodic control framework for load reduction when wake interaction was considered. The simulation results showed that the turbine loads can be further reduced using the switching control scheme based on wake modeling, as compared with the generic DAC without wake consideration.

[1]  Bjarne Skovmose Kallesøe,et al.  A low‐order model for analysing effects of blade fatigue load control , 2006 .

[2]  Karl Stol,et al.  Individual blade pitch control of floating offshore wind turbines , 2010 .

[3]  Gunner Chr. Larsen,et al.  A Simple Wake Calculation Procedure , 1988 .

[4]  Jason Jonkman,et al.  FAST User's Guide , 2005 .

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

[6]  Eduard Muljadi,et al.  Pitch-controlled variable-speed wind turbine generation , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[7]  G.A.M. van Kuik,et al.  State of the art and prospectives of smart rotor control for wind turbines , 2007 .

[8]  Torben J. Larsen,et al.  Active load reduction using individual pitch, based on local blade flow measurements , 2005 .

[9]  Matthew A. Lackner,et al.  A comparison of smart rotor control approaches using trailing edge flaps and individual pitch control , 2009 .

[10]  B. G. Newman,et al.  The spacing of wind turbines in large arrays , 1977 .

[11]  Kathryn E. Johnson,et al.  Wind farm control: Addressing the aerodynamic interaction among wind turbines , 2009, 2009 American Control Conference.

[12]  Yaoyu Li,et al.  Maximizing Wind Turbine Energy Capture Using Multivariable Extremum Seeking Control , 2009 .

[13]  J. Højstrup,et al.  A Simple Model for Cluster Efficiency , 1987 .

[14]  Rebecca J. Barthelmie,et al.  Analytical modelling of wind speed deficit in large offshore wind farms , 2006 .

[15]  Alan Wright,et al.  Advanced Wind Turbine Controllers Attenuate Loads when Upwind Velocity Measurements are Inputs , 2006 .

[16]  Ian Proudman,et al.  Boundary Layer Theory (fourth edition). By H. SCHLICHTINO. New York: McGraw-Hill, 1960. 647 pp. £6. 8s. , 1962, Journal of Fluid Mechanics.

[17]  A. D. Wright,et al.  Advanced Control Design for Wind Turbines; Part I: Control Design, Implementation, and Initial Tests , 2008 .

[18]  M. Magnusson,et al.  Near-wake behaviour of wind turbines , 1999 .

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

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

[21]  Stefan Emeis,et al.  Reduction of horizontal wind speed in a boundary layer with obstacles , 1993 .

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

[23]  Julio Hernández,et al.  Survey of modelling methods for wind turbine wakes and wind farms , 1999 .

[24]  P. Vermeulen.  An experimental analysis of wind turbine wakes , 1980 .

[25]  J. F. Ainslie,et al.  CALCULATING THE FLOWFIELD IN THE WAKE OF WIND TURBINES , 1988 .

[26]  Alan Wright,et al.  Designing and Testing Controls to Mitigate Tower Dynamic Loads in the Controls Advanced Research Turbine: Preprint , 2007 .

[27]  Fernando D. Bianchi,et al.  Gain scheduling control of variable-speed wind energy conversion systems using quasi-LPV models , 2005 .

[28]  Ervin Bossanyi,et al.  Individual Blade Pitch Control for Load Reduction , 2003 .

[29]  Matthew A. Lackner,et al.  The Performance of Wind Turbine Smart Rotor Control Approaches During Extreme Loads , 2010 .

[30]  P. D. Dunn,et al.  The efficiency of wind turbine clusters , 1980 .

[31]  Kathryn E. Johnson,et al.  Methods for Increasing Region 2 Power Capture on a Variable-Speed Wind Turbine , 2004 .

[32]  R. Barthelmie,et al.  Investigation and Validation of Wind Turbine Wake Models , 2008 .

[33]  T. C. Myers,et al.  Mathematical Model for the Analysis of Wind-Turbine Wakes , 1983 .

[34]  Sten Tronæs Frandsen,et al.  On the wind speed reduction in the center of large clusters of wind turbines , 1992 .

[35]  Kathryn E. Johnson,et al.  Controls Advanced Research Turbine (CART) Commissioning and Baseline Data Collection , 2002 .

[36]  Gunner Chr. Larsen,et al.  Mean wake deficit in the near field , 2003 .

[37]  D. Moore.  Depletion of available wind power by a large network of wind generators , 1979 .

[38]  P. B. S. Lissaman.  Energy effectiveness of arbitrary arrays of wind turbines , 1979 .

[39]  Ervin Bossanyi,et al.  Further load reductions with individual pitch control , 2005 .

[40]  Gunner Chr. Larsen,et al.  Wind fields in wakes , 1996 .

[41]  Michel Verhaegen,et al.  Feedback–feedforward individual pitch control for wind turbine load reduction , 2009 .

[42]  M. Maureen Hand,et al.  Mitigation of Wind Turbine/Vortex Interaction Using Disturbance Accommodating Control , 2003 .