Formulas of the optimized yaw angles for cooperative control of wind farms with aligned turbines to maximize the power production

被引:42
作者
Ma, Hongliang [1 ]
Ge, Mingwei [1 ]
Wu, Guangxing [1 ]
Du, Bowen [1 ]
Liu, Yongqian [1 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Cooperative yaw control; Wind farms with aligned turbines; Power maximization; Large-eddy simulation; HORIZONTAL-AXIS WIND; WAKE MODEL;
D O I
10.1016/j.apenergy.2021.117691
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Cooperative yaw control of wind turbines can substantially increase the total power production of wind farms, especially for the ones with aligned turbines. However, a generalized and effective method to quickly determine the turbines' yaw angles for the wind farm control is rather limited. To this end, a systematic study was carried out on the cooperative yaw control of a single column of turbines. It is found that the optimized yaw angles are not sensitive to the turbine number. All the turbines should yaw to the identical direction for power maximization except the last turbine for which no yaw is required. The cooperative yaw control strategy can be simplified to a solution space only containing two yaw angles, i.e., the yaw angle of the first turbine and the angle for the downstream yawed turbines. Then, two algebra formulas are proposed to quickly determine the two yaw angles for the wind farm control only using three available parameters, i.e., the thrust coefficient of the rotor, the wake decay coefficient and the turbine spacing. To validate the proposed formulas, high-fidelity large-eddy simulations are performed. The results demonstrate that the proposed control strategy can increase the power production significantly for cases with strong wake effects. For one of the cases with five aligned turbines, the total power can be enhanced by 17.5%.
引用
收藏
页数:13
相关论文
共 58 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]   Unsteady aerodynamic performance analysis of an airborne wind turbine under load varying conditions at high altitude [J].
Ali, Qazi Shahzad ;
Kim, Man-Hoe .
ENERGY CONVERSION AND MANAGEMENT, 2020, 210
[3]   Analysis of axial-induction-based wind plant control using an engineering and a high-order wind plant model [J].
Annoni, Jennifer ;
Gebraad, Pieter M. O. ;
Scholbrock, Andrew K. ;
Fleming, Paul A. ;
van Wingerden, Jan-Willem .
WIND ENERGY, 2016, 19 (06) :1135-1150
[4]   Wake steering via yaw control in multi-turbine wind farms: Recommendations based on large-eddy simulation [J].
Archer, Cristina L. ;
Vasel-Be-Hagh, Ahmad .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2019, 33 :34-43
[5]   Review and evaluation of wake loss models for wind energy applications [J].
Archer, Cristina L. ;
Vasel-Be-Hagh, Ahmadreza ;
Yan, Chi ;
Wu, Sicheng ;
Pan, Yang ;
Brodie, Joseph F. ;
Maguire, A. Eoghan .
APPLIED ENERGY, 2018, 226 :1187-1207
[6]   Wind farm layout using biogeography based optimization [J].
Bansal, Jagdish Chand ;
Farswan, Pushpa .
RENEWABLE ENERGY, 2017, 107 :386-402
[7]  
Bartl J, 2018, WIND TUNNEL STUDY PO
[8]   Wind tunnel study of the wind turbine interaction with a boundary-layer flow: Upwind region, turbine performance, and wake region [J].
Bastankhah, M. ;
Porte-Agel, F. .
PHYSICS OF FLUIDS, 2017, 29 (06)
[9]  
Bastankhah M, 2020, ENERGIES, V13
[10]  
Bastankhah M, 2015, EGU GEN ASSEMBLY