针对传统发电功率评估方法未充分考虑风切变效应和尾流效应所导致的精度不足问题,提出一种基于三维尾流模型和新型等效风速计算模型的新型发电功率评估方法。选取两类典型风电场在不同风况条件下的实测发电功率为分析对象,系统验证新方法的准确性和通用性。结果表明:对于常规型布局的Horns Rev风电场,新型发电功率评估方法较传统方法评估精度显著提升,与测量数据的误差范围为2.43%~7.68%,略优于大涡模拟的误差范围1.65%~11.89%;对于密集型布局的Lillgrund风电场,新型评估方法在两种风向角条件下表现出优于传统方法的综合评估性能,整体精度不逊于大涡模拟数值模拟结果。总体而言,新型评估方法综合考虑风切变和尾流效应对场区复杂流场的耦合影响机制,能够更准确地预测机组实际发电功率。
Abstract
This paper proposes a novel power generation assessment method based on a three-dimensional wake model and a new equivalent wind speed calculation model, aimed at overcoming the insufficient accuracy of traditional methods caused by the inadequate consideration of wind shear and wake effects. The method is validated using measured power generation data from two typical wind farms under different wind conditions. The results indicate that for the Horns Rev wind farm with a conventional layout configuration, the novel power generation assessment method demonstrates significantly improved evaluation accuracy compared to conventional approaches. The error margins relative to measured data range from 2.43% to 7.68%, slightly outperforming the error range of 1.65% to 11.89% observed in large eddy simulation (LES) results. In the case of the closely-packed Lillgrund wind farm, the new assessment method exhibits superior comprehensive evaluation performance under two wind direction conditions when compared to traditional methods, while maintaining overall accuracy comparable to LES numerical simulation results. Overall, the new assessment method comprehensively considers the coupling effects of wind shear and wake interactions on the complex flow field within the wind farm, thereby enabling more accurate prediction of the actual power generation of the turbines.
关键词
风电场 /
风力机 /
尾流 /
发电功率评估 /
Jensen模型
Key words
wind farm /
wind turbines /
wakes /
power assessment /
Jensen model
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] Wang Y J, Wang R, Tanaka K, et al.Accelerating the energy transition towards photovoltaic and wind in China[J]. Nature, 2023, 619(7971): 761-767.
[2] Amiri M M, Shadman M, Estefen S F.A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes[J]. Renewable and Sustainable Energy Reviews, 2024, 193: 114279.
[3] 王同光, 田琳琳, 钟伟, 等. 风能利用中的空气动力学研究进展Ⅱ: 入流和尾流特性[J]. 空气动力学学报, 2022, 40(4): 22-50.
Wang T G, Tian L L, Zhong W, et al.Aerodynamic research progress in wind energyⅡ: Inflow and wake characteristics[J]. Acta Aerodynamica Sinica, 2022, 40(4): 22-50.
[4] Jensen N O.A note on wind generator interaction[M]. Roskilde, Denmark: Risø National Laboratory, 1983.
[5] Kaldellis J K, Triantafyllou P, Stinis P.Critical evaluation of wind turbines' analytical wake models[J]. Renewable and Sustainable Energy Reviews, 2021, 144: 110991.
[6] IEC 61400-12-1:2017 Wind energy generation systems - Part 12-1: Power performance measurements of electricity producing wind turbines[S].
[7] 姜婷婷, 叶杭冶, 申新贺, 等. 基于风轮面等效风速的风电场发电量评估方法研究[J]. 太阳能学报, 2021, 42(9): 244-249.
Jiang T T, Ye H Y, Shen X H, et al.Research on wind farm power generation assessment based on rotor equivalent wind speed[J]. Acta Energiae Solaris Sinica, 2021, 42(9): 244-249.
[8] Tian L L, Zhu W J, Shen W Z, et al.Development and validation of a new two-dimensional wake model for wind turbine wakes[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2015, 137: 90-99.
[9] 宋翌蕾, 田琳琳, 赵宁. 风力机三维尾流模型的提出与校核[J]. 太阳能学报, 2021, 42(2): 129-135.
Song Y L, Tian L L, Zhao N.Proposal and validation of a new 3d wake model for wind turbine[J]. Acta Energiae Solaris Sinica, 2021, 42(2): 129-135.
[10] IEC 61400-12-1:2005 Wind energy generation systems - Part 12-1: Power performance measurements of electricity producing wind turbines[S].
[11] Barthelmie R J, Frandsen S T, Rathmann O, et al.Flow and wakes in large wind farms: final report for UpWind WP8[R]. Risø DTU National Laboratory for Sustainable Energy, 2011.
[12] Wu Y T, Porté-Agel F.Modeling turbine wakes and power losses within a wind farm using LES: an application to the Horns Rev offshore wind farm[J]. Renewable Energy, 2015, 75: 945-955.
[13] Nilsson K, Ivanell S, Hansen K S, et al.Large-eddy simulations of the Lillgrund wind farm[J]. Wind Energy, 2015, 18(3): 449-467.
基金
国家重点研发计划(2024YFB4205703); 国家自然科学基金重大研究计划培育项目(92252103)