Wind Turbine Power Curve Design for Optimal Power Generation in Wind Farms Considering Wake Effect

被引:26
作者
Tian, Jie [1 ,2 ]
Zhou, Dao [1 ]
Su, Chi [1 ]
Soltani, Mohsen [1 ]
Chen, Zhe [1 ]
Blaabjerg, Frede [1 ]
机构
[1] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
[2] Sino Danish Ctr Educ & Res, DK-8000 Aarhus, Denmark
关键词
maximum power point tracking (MPPT); optimization; wake effect; wind power generation; wind farms; MODEL; SIMULATIONS; OFFSHORE; PLANTS; POINT; FLOW;
D O I
10.3390/en10030395
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
In modern wind farms, maximum power point tracking (MPPT) is widely implemented. Using the MPPT method, each individual wind turbine is controlled by its pitch angle and tip speed ratio to generate the maximum active power. In a wind farm, the upstream wind turbine may cause power loss to its downstream wind turbines due to the wake effect. According to the wake model, downstream power loss is also determined by the pitch angle and tip speed ratio of the upstream wind turbine. By optimizing the pitch angle and tip speed ratio of each wind turbine, the total active power of the wind farm can be increased. In this paper, the optimal pitch angle and tip speed ratio are selected for each wind turbine by the exhausted search. Considering the estimation error of the wake model, a solution to implement the optimized pitch angle and tip speed ratio is proposed, which is to generate the optimal control curves for each individual wind turbine off-line. In typical wind farms with regular layout, based on the detailed analysis of the influence of pitch angle and tip speed ratio on the total active power of the wind farm by the exhausted search, the optimization is simplified with the reduced computation complexity. By using the optimized control curves, the annual energy production (AEP) is increased by 1.03% compared to using the MPPT method in a case-study of a typical eighty-turbine wind farm.
引用
收藏
页数:19
相关论文
共 23 条
[1]  
Abad G., 2011, DOUBLY FED INDUCTION, P19
[2]   Comparison of wake model simulations with offshore wind turbine wake profiles measured by sodar [J].
Barthelmie, R. J. ;
Folkerts, L. ;
Larsen, G. C. ;
Rados, K. ;
Pryor, S. C. ;
Frandsen, S. T. ;
Lange, B. ;
Schepers, G. .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2006, 23 (07) :888-901
[3]   Modelling and Measuring Flow and Wind Turbine Wakes in Large Wind Farms Offshore [J].
Barthelmie, R. J. ;
Hansen, K. ;
Frandsen, S. T. ;
Rathmann, O. ;
Schepers, J. G. ;
Schlez, W. ;
Phillips, J. ;
Rados, K. ;
Zervos, A. ;
Politis, E. S. ;
Chaviaropoulos, P. K. .
WIND ENERGY, 2009, 12 (05) :431-444
[4]  
Corten G. P., 2004, P EUR WIND EN C EXH, P1
[5]   Investigation and Validation of Wind Turbine Wake Models [J].
Duckworth, A. ;
Barthelmie, R. .
WIND ENGINEERING, 2008, 32 (05) :459-475
[6]   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
[7]   Maximum power-point tracking control for wind farms [J].
Gebraad, P. M. O. ;
van Wingerden, J. W. .
WIND ENERGY, 2015, 18 (03) :429-447
[8]   Reducing computational effort in the calculation of annual energy produced in wind farms [J].
Gonzalez-Rodriguez, Angel G. ;
Burgos-Payan, Manuel ;
Riquelme-Santos, Jesus ;
Serrano-Gonzalez, Javier .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 43 :656-665
[9]  
IEA Wind Annual, 2016, IEA WIND ANN REPORT
[10]  
Jensen N. O, 1983, M2411 RISO NAT LAB