H∞ position transfer and regulation for floating offshore wind turbines

被引:7
作者
Escobar Aquino, Eduardo Eribert [1 ]
Nagamune, Ryozo [1 ]
机构
[1] Univ British Columbia, Dept Mech Engn, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Offshore wind farm; wind turbine position; power regulation; disturbance rejection; H-infinity control;
D O I
10.1007/s11768-020-8280-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes H-infinity controller design for platform position transfer and regulation of floating offshore wind turbines. The platform movability of floating wind turbines can be utilized in mitigating the wake effect in the wind farm, thereby maximizing the wind farm's total power capture and efficiency. The controller is designed so that aerodynamic force is adjusted to meet the three objectives simultaneously, that is, 1) to generate the desired electrical power level, 2) to achieve the desired platform position, and 3) to suppress the platform oscillation. To acquire sufficient aerodynamic force to move the heavy platform, the pitch-to-stall blade pitching strategy is taken instead of the commonly-used pitch-to-feather strategy. The desired power level is attained by the standard constant-power strategy for the generator torque, while H-infinity state-feedback control of blade pitch and nacelle yaw angles is adopted for the position regulation and platform oscillation suppression. Weighting constants for the H-infinity controller design are adjusted to take the trade-off between the position regulation accuracy and the platform motion reduction. To demonstrate the efficiency of the proposed controller, a virtual 5-MW semi-submersible wind turbine is considered. Simulation results show that the designed H-infinity controller successfully accomplishes the platform position transfer and regulation as well as the platform oscillation reduction against wind and wave disturbances, and that it outperforms a previously-proposed linear quadratic controller with an integrator.
引用
收藏
页码:231 / 245
页数:15
相关论文
共 29 条
[1]   Experimental investigation of wake effects on wind turbine performance [J].
Adaramola, M. S. ;
Krogstad, P. -A. .
RENEWABLE ENERGY, 2011, 36 (08) :2078-2086
[2]  
Boersma S, 2017, P AMER CONTR CONF, P1, DOI 10.23919/ACC.2017.7962923
[3]  
Campagnolo F, 2016, P AMER CONTR CONF, P513, DOI 10.1109/ACC.2016.7524965
[4]  
CastroSantos L, 2016, GREEN ENERGY TECHNOL, P1, DOI 10.1007/978-3-319-27972-5
[5]  
Cruz J, 2016, GREEN ENERGY TECHNOL, P1, DOI 10.1007/978-3-319-29398-1
[6]  
Duan G-R., 2013, LMIs in control systems: analysis, design and applications, DOI [10.1201/b15060, DOI 10.1201/B15060]
[7]   Simulation comparison of wake mitigation control strategies for a two-turbine case [J].
Fleming, Paul ;
Gebraad, Pieter M. O. ;
Lee, Sang ;
van Wingerden, Jan-Willem ;
Johnson, Kathryn ;
Churchfield, Matt ;
Michalakes, John ;
Spalart, Philippe ;
Moriarty, Patrick .
WIND ENERGY, 2015, 18 (12) :2135-2143
[8]   Evaluating techniques for redirecting turbine wakes using SOWFA [J].
Fleming, Paul A. ;
Gebraad, Pieter M. O. ;
Lee, Sang ;
van Wingerden, Jan-Willem ;
Johnson, Kathryn ;
Churchfield, Matt ;
Michalakes, John ;
Spalart, Philippe ;
Moriarty, Patrick .
RENEWABLE ENERGY, 2014, 70 :211-218
[9]   Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study [J].
Gebraad, P. M. O. ;
Teeuwisse, F. W. ;
van Wingerden, J. W. ;
Fleming, P. A. ;
Ruben, S. D. ;
Marden, J. R. ;
Pao, L. Y. .
WIND ENERGY, 2016, 19 (01) :95-114
[10]   Maximum power-point tracking control for wind farms [J].
Gebraad, P. M. O. ;
van Wingerden, J. W. .
WIND ENERGY, 2015, 18 (03) :429-447