COOPERATIVE CONTROL OF WIND TURBINE MPPT AND TORSIONAL VIBRATION BASED ON LINEAR ACTIVE DISTURBANCE REJECTION

Wang Haodong; Tian De; Li Xinkai; Lao Wenxin; Su Yi; Wang Yong

doi:10.19912/j.0254-0096.tynxb.2023-1291

PDF(1945 KB)

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (12) : 250-257. DOI: 10.19912/j.0254-0096.tynxb.2023-1291

COOPERATIVE CONTROL OF WIND TURBINE MPPT AND TORSIONAL VIBRATION BASED ON LINEAR ACTIVE DISTURBANCE REJECTION

Wang Haodong¹, Tian De¹, Li Xinkai², Lao Wenxin², Su Yi¹, Wang Yong¹

Author information +

History +

Abstract

Aiming at the problem of coupling between MPPT and torsional vibration control loop and disturbance suppression in the operation process, a cooperative control method of MPPT and torsional vibration of wind turbine based on linear active disturbance rejection is proposed. The unknown input observer is designed and combined with the Newton-Raphson algorithm to estimate the effective wind speed for the tip speed ratio method MPPT, and the Kalman filter is designed to estimate the torsional speed of the drivetrain for the torsional vibration control loop. The simulation research is carried out based on the 5 MW wind turbine model in FAST. The simulation case shows that compared with the traditional method, the power generation of the proposed method is increased by 1.58%. After the introduction of the torsional vibration controller, the standard deviation of the torsional speed and torsion angle is reduced by 31.06% and 0.50%, respectively, which improves the MPPT performance and suppresses the drivetrain torsional vibration.

Key words

wind turbines / maximum power point trackers / torque control / torsional vibration control / effective wind speed estimation / linear active disturbance rejection control

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Wang Haodong, Tian De, Li Xinkai, Lao Wenxin, Su Yi, Wang Yong. COOPERATIVE CONTROL OF WIND TURBINE MPPT AND TORSIONAL VIBRATION BASED ON LINEAR ACTIVE DISTURBANCE REJECTION[J]. Acta Energiae Solaris Sinica. 2024, 45(12): 250-257 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1291

References

[1] PAN C T, JUAN Y L.A novel sensorless MPPT controller for a high-efficiency microscale wind power generation system[J]. IEEE transactions on energy conversion, 2010, 25(1): 207-216.
[2] 周连俊, 李群, 殷明慧, 等. 面向风电机组最大功率点跟踪的转矩曲线增益动态优化[J]. 电工技术学报, 2023, 38(13): 3447-3458.
ZHOU L J, LI Q, YIN M H, et al.Torque curve gain dynamic optimization for maximum power point tracking of wind turbines[J]. Transactions of China Electrotechnical Society, 2023, 38(13): 3447-3458.
[3] CHEN J W, CHEN J, GONG C Y.On optimizing the transient load of variable-speed wind energy conversion system during the MPP tracking process[J]. IEEE transactions on industrial electronics, 2014, 61(9): 4698-4706.
[4] YENDURI K, SENSARMA P.Maximum power point tracking of variable speed wind turbines with flexible shaft[J]. IEEE transactions on sustainable energy, 2016, 7(3): 956-965.
[5] UDDIN M N, AMIN I K.Adaptive step size based hill-climb search algorithm for MPPT control of DFIG-WECS with reduced power fluctuation and improved tracking performance[J]. Electric power components and systems, 2018, 46(19/20): 2203-2214.
[6] CHEN H, SUN Y, CAI Y M, et al.Improved torque compensation control based-maximum power point tracking strategy for large scale floating offshore wind turbines[J]. Ocean engineering, 2023, 273: 113974.
[7] 夏亚平, 刘德, 李芮宇, 等. 低风速风力机最大风能追踪的互补滑模控制[J]. 控制理论与应用, 2020, 37(1): 129-136.
XIA Y P, LIU D, LI R Y, et al.Complementary sliding mode control for maximum wind energy tracking of low wind turbines[J]. Control theory & applications, 2020, 37(1): 129-136.
[8] 田德, 周臣凯, 唐世泽, 等. 基于自适应模型预测控制的大型风电机组MPPT方法[J]. 太阳能学报, 2023, 44(6): 501-508.
TIAN D, ZHOU C K, TANG S Z, et al.MPPT method for large wind turbines based on adaptive model predictive control[J]. Acta energiae solaris sinica, 2023, 44(6): 501-508.
[9] 贾锋, 符杨. 风电功率跟踪的渐进随动本质与无通信的风电场集中变频原理[J]. 中国电机工程学报, 2023, 43(15): 5877-5890.
JIA F, FU Y.The gradual follow-up essence of wind power tracking and the non-communication centralized power conversion principle for wind turbine cluster[J]. Proceedings of the CSEE, 2023, 43(15): 5877-5890.
[10] 杨文韬, 耿华, 肖帅, 等. 最大功率跟踪控制下大型风电机组的轴系扭振分析及抑制[J]. 清华大学学报(自然科学版), 2015, 55(11): 1171-1177.
YANG W T, GENG H, XIAO S, et al.Analysis and suppression for shaft torsional vibrations in large wind turbines with MPPT control[J]. Journal of Tsinghua University(science and technology), 2015, 55(11): 1171-1177.
[11] 金鑫, 钟翔, 谢双义, 等. 大型风力发电机转矩LQR控制及载荷优化[J]. 电力系统保护与控制, 2013, 41(6): 93-98.
JIN X, ZHONG X, XIE S Y, et al.Load reduction for large-scale wind turbine based on LQR torque control[J]. Power system protection and control, 2013, 41(6): 93-98.
[12] 邢作霞, 刘颖明, 郑琼林, 等. 基于阻尼滤波的大型风电机组柔性振动控制技术[J]. 太阳能学报, 2008, 29(11): 1425-1431.
XING Z X, LIU Y M, ZHENG Q L, et al.Flexible vibration control technology of large wind turbine based on damping filter[J]. Acta energiae solaris sinica, 2008, 29(11): 1425-1431.
[13] 叶杭冶. 风力发电机组监测与控制[M]. 2版. 北京: 机械工业出版社, 2019.
YE H Y.Wind generator's monitoring and control[M]. 2nd ed. Beijing: China Machine Press, 2019.
[14] AZIZI A, NOURISOLA H, SHOJA-MAJIDABAD S.Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller[J]. Renewable energy, 2019, 135: 55-65.
[15] 庞辉庆, 邓英, 刘茜, 等. 基于卡尔曼滤波的风电机组传动链扭振控制[J]. 太阳能学报, 2020, 41(11): 293-299.
PANG H Q, DENG Y, LIU Q, et al.Torsional vibration control of wind turbine drive train based on Kalman filter[J]. Acta energiae solaris sinica, 2020, 41(11): 293-299.
[16] 韩京清. 自抗扰控制器及其应用[J]. 控制与决策, 1998, 13(1): 19-23.
HAN J Q.Auto-disturbances-rejection controller and its applications[J]. Control and decision, 1998, 13(1): 19-23.
[17] DENG X F, YANG J, SUN Y, et al.Sensorless effective wind speed estimation method based on unknown input disturbance observer and extreme learning machine[J]. Energy, 2019, 186: 115790.
[18] 李振营, 沈毅, 胡恒章. 具有未知输入干扰的观测器设计[J]. 航空学报, 2000, 21(5): 471-473.
LI Z Y, SHEN Y, HU H Z.Design of observers for system with unknown inputs[J]. Acta aeronautica et astronautica sinica, 2000, 21(5): 471-473.