[1] ASTARIZ S, IGLESIAS G. Enhancing wave energy competitiveness through co-located wind and wave energy farms. a review on the shadow effect [J]. Energies, 2015(8): 7344-7366. DOI:  10.3390/en8077344.
[2] HASAGER C B, VINCENT P, BADGER J, et al. Using satellite SAR to characterize the wind flow around offshore wind farms [J]. Energies, 2015(8): 5413-5439. DOI:  10.3390/en8065413.
[3] FRANDSEN S, BARTHELMIE R, PRYOR S, et al. Analytical modelling of wind speed deficit in large offshore: wind farms [J]. Wind Energy, 2006, 9(1): 39-53. DOI:  10.1002/we.189.
[4] 陈树勇, 戴慧珠, 白晓民, 等. 尾流效应对风电场输出功率的影响 [J]. 中国电力, 1998, 31(11): 28-31.

CHEN S Y, DAI H Z, BAI X M, et al. Impact of wind turbine wake on wind power output [J]. Electric Power, 1998, 31(11): 28-31.
[5] 刘沙, 王中权, 蔡彦枫. 海上风电场运行期尾流损失分析 [J]. 南方能源建设, 2019, 6(1): 66-70. DOI:  10.16516/j.gedi.issn2095-8676.2019.01.011.

LIU S, WANG Z Q, CAI Y F. Wake loss analysis of offshore wind farm in operation [J]. Southern Energy Construction, 2019, 6(1): 66-70. DOI:  10.16516/j.gedi.issn2095-8676.2019.01.011.
[6] 温建民, 张新旺, 陈锋, 等. 基于风电场实测的风机尾流特征分析 [J]. 机械工程与自动化, 2021(1): 3-6. DOI:  10.3969/j.issn.1672-6413.2021.01.002.

WEN J M, ZHANG X W, CHEN F, et al. Analysis of wind turbine wake characteristics based on wind farm field measurement [J]. Mechanical Engineering & Automation, 2021(1): 3-6. DOI:  10.3969/j.issn.1672-6413.2021.01.002.
[7] 李岩, 吴迪, 洪畅, 等. 大型海上风电场风机排布优化策略研究 [J]. 太阳能, 2020(2): 67-74. DOI:  10.3969/j.issn.1003-0417.2020.02.011.

LI Y, WU D, HONG C, et al. Optimization of wind turbine layout in large-scale offshore wind farm [J]. Solar Enengy, 2020(2): 67-74. DOI:  10.3969/j.issn.1003-0417.2020.02.011.
[8] 郑建才, 万德成, 王尼娜, 等. 基于尾流叠加模型的风电场数值模拟 [C]// 《水动力学研究与进展》编委会, 中国力学学会流体力学专业委员会水动力学专业组, 集美大学, 等. 第三十一届全国水动力学研讨会, 中国福建厦门, 2020-10-30. 北京: 海洋出版社, 2020: 833-847. DOI: 10.26914/c.cnkihy.2020.037043.

ZHEN J C, WAN D C, WANG N, et al. Numerical solution of wind farm wake based on wake interaction model [C]// Editorial Board of Research and Progress in Hydrodynamics, Hydrodynamics Professional Group of Hydromechanics Committee of Chinese Society of Mechanics, Jimei University, et al. Thirty-first National Symposium on Hydrodynamics, Xiamen, Fujian, China, 2020-10-30. Beijing: China Ocean Press, 2020: 833-847. DOI: 10.26914/c.cnkihy.2020.037043.
[9]

TC88. Wind turbines-part 12-1: power performance measurements of electricity producing wind turbines: IEC 61400-12-1 [S]. Genève: International Electrotechnical Commission, 2005.
[10] 杨昆, 姜婷婷, 朱金奎, 等. 大规模风电场实际尾流分析与算法研究 [C]// 中国农机工业协会风力机械分会. 第七届中国风电后市场交流合作大会, 中国江苏无锡, 2020-8-26. 北京: 中国农机工业协会风力机械分会, 2020: 81-86. DOI: 10.26914/c.cnkihy.2020.011484.

Y K, J T T, ZHU J K, et al. Research on the actual wake of large scale wind farm and algorithms [C]// China Agricultural Machinery Industry Association Wind Machinery Branch. The 7th China Wind Power Aftermarket Exchange and Cooperation Conference, Wuxi, Jiangsu, China, 2020-8-26. Beijing: China Agricultural Machinery Industry Association Wind Machinery Branch, 2020: 81-86. DOI: 10.26914/c.cnkihy.2020.011484.
[11]

MITTELMEIER N, et al. An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects [J]. Wind Energy Science, 2017(2): 477-490. DOI:  10.5194/wes-2-477-2017.
[12] 许帅, 邓智文, 汪健文, 等. 偏航工况下风电机组尾流模型与风电场尾流叠加研究 [J]. 能源研究与利用, 2015(4): 27-30+49. DOI:  10.16404/j.cnki.issn1001-5523.2018.04.011.

XU S, DENG Z W, WANG J W, et al. Study on wind turbine wake model and wake superposition under the yaw condition [J]. Energy Research & Utilization, 2015(4): 27-30+49. DOI:  10.16404/j.cnki.issn1001-5523.2018.04.011.
[13] 杨志超, 高丙团, 叶飞, 等. 基于尾流效应的风电场最大出力优化控制 [J]. 电力建设, 2017, 38(4): 96-102. DOI:  10.3969/j.issn.1000-7229.2017.04.013.

YANG Z C, GAO B T, YE F, et al. Maximum output optimal control of wind farm based on wake effect [J]. Electric Power Construction, 2017, 38(4): 96-102. DOI:  10.3969/j.issn.1000-7229.2017.04.013.
[14]

MITTELMEIER N, BLODAU T, KÜHN M. Monitoring offshore wind farm power performance with SCADA data and an advanced wake model [J]. Wind Energy Science, 2017, 2(1): 175-187. DOI:  10.5194/wes-2-175-2017,2017.
[15] 李岩, 罗辛·费伊, 白雪. 基于运营风机scada数据的风电场尾流损失测量方法: CN106321368B [P]. 2019-02-15.

LI Y, ROSIN F, BAI X. The method of measuring wake loss in wind farm based on scada data of operating wind turbines: CN106321368B [P]. 2019-02-15.