[1] BOSSANYI E A.Individual blade pitch control for loadreduction[J]. Wind energy, 2003, 6(2): 119-128. [2] LIO W H, JOES L B, ROSSITER J A.Estimation and control of wind turbine tower vibrations based on Individual Blade-PitchStrategies[J]. IEEE transactions on control systems technology, 2019, 27(4): 1820-1828. [3] MENEZES E J N, ARAUJO A M, DASILVA N S B. A review on wind turbine control and itsassociatedmethods[J]. Journal of cleaner production, 2018, 174: 945-953. [4] PETROVIC V, JELAVIC M, BAOTIC M.Advanced control algorithms for reduction of wind turbine structural loads[J]. Renew energy, 2015, 76: 418-431. [5] HOGHOOGHI H, CHOKANI N, ABHARI R S.Effectiveness of individual pitch control on a 5 MW downwind turbine[J]. Renewable energy, 2019, 139: 435-446. [6] TIAN W, PAN W X, SHAO Y X, et al.Individual pitch control strategy for reducing aerodynamic loads and torque ripples[J]. IEEJ transactions on electrical and electronic engineering, 2019, 14(11): 1624-1632. [7] LI B J, LIO W H, ROSSITER J A.Overcoming fundamental limitations of wind turbine individual blade pitch control with inflow sensors[J]. Wind energy, 2018, 21(10): 922-936. [8] SANTHANAGOPALAN V, ROTEA M A, IUNGO G V.Performance optimization of a wind turbine column for different incoming wind turbulence[J]. Renewable energy, 2018, 116(Part B): 232-243. [9] AITKEN M L, RHODES M E, LUNDQUIST J K.Performance of a wind-profiling lidar in the region of wind turbine rotor disks[J]. Journal of atmospheric and oceanic technology, 2012, 29(3): 347-355. [10] ZHAN L, LETIZIA S, IUNGO G V.LiDAR measurements for an onshore wind farm: wake variability for different incoming wind speeds and atmospheric stability regimes[J]. Wind energy, 2019, 23(3): 501-527. [11] EL-ASHA S, ZHAN L, V IUNGO G. Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data[J]. Wind energy, 2017, 20(11): 1823-1839. [12] DIMITROV N, BORRACCINO A, PENA A, et al.Windturbine load validation using lidar-based wind retrievals[J]. Wind Energy, 2019, 22(11): 1512-1533. [13] BORRACCINO A.Remotely measuring the wind using turbine-mountedlidars: application to power performance testing[D]. Technical University of Denmark, Copenhagen, DTU Wind Energy, 2017. [14] 汪海蛟, 江全元. 应用于平抑风电功率波动的储能系统控制与配置综述[J]. 电力系统自动化, 2014, 38(19): 126-135. WANG H J, JIANG Q Y.An overview of control and configuration of energy storage system used for wind power fluctuation mitigation[J]. Automation of electric power systems, 2014, 38(19): 126-135. [15] SØRENSEN P, HANSEN A D, ROSAS P A C. Wind models for simulation of power fluctuations from wind farms[J]. Journal of wind engineering and industrial aerodynamics, 2002, 90(12-15):1381-1402. [16] 应有, 许国东, 潘东浩, 等. 大型风电机组独立变桨控制技术研究[J]. 太阳能学报, 2011, 32(6): 891-896. YING Y, XU G D, PAN D H, et al.Individual pitch control for large scale wind turbine[J]. Acta energiae solaris sinica, 2011, 32(6): 891-896. [17] 马欣欣, 陈进, 李世六. 风力机叶片在三维湍流下的载荷分析[J]. 可再生能源, 2009, 27(5): 19-22. MA X X, CHEN J, LI S L.Analysis on the wind turbine's blade loads in 3D turbulence[J]. Renewable energy,2009, 27(5): 19-22. [18] BOSSANYI E A.GH bladed versin 3.67 user manual[M]. England: Garrad Hassan and Partner Limited, 2005. [19] 秦本双. 基于实测数据的风电场风速和风功率预测研究[D]. 吉林: 东北电力大学, 2018. QIN B S.Research on the wind speed and wind power forecasting based on actual measured data[D]. Jilin: Northeast Electric Power University, 2018. [20] 田盛华, 王欣, 秦斌, 等. 激光雷达测风建模与模拟[J]. 湖南工业大学学报, 2019, 33(5): 62-66. TIAN S H, WAMG X, QIN B, et al.LIDAR wind measurement modeling and simulation[J]. Journal of Hunan University of Technology, 2019, 33(5): 62-66. [21] 吴杰, 丁明. 采用自适应小波包分解的混合储能平抑风电波控制策略[J]. 电力系统自动化, 2017, 41(3): 7-12. WU J, DING M.Wind power fluctuation smoothing strategy of hybrid energy storage system using self-adaptive wavelet packet decomposition[J]. Automation of electric power systems, 2017, 41(3): 7-12. [22] UNGURAN R, BOERSMA S, PETROVIC V, et al.Feedback-feedforward individual pitch control design with uncertain measurements[C]//American Control Conference, Philadelphia, 2019. [23] MEDICI D, IVANELL S, DAHLBERG J, et al.The upstream flow of a wind turbine: blockage effect[J]. Wind energy, 2011, 14(5): 691-697. |