OPTIMIZATION OF INDIVIDUAL PITCH ACTIVE DAMPING CONTROL PARAMETERS BASED ON IMPROVED SPARROW SEARCH ALGORITHM

Liu Yingming; Jiao Yifei; Wang Xiaodong; Ma Zhenhong; Li Qing; Li Changchuan

doi:10.19912/j.0254-0096.tynxb.2024-1489

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 432-440. DOI: 10.19912/j.0254-0096.tynxb.2024-1489

OPTIMIZATION OF INDIVIDUAL PITCH ACTIVE DAMPING CONTROL PARAMETERS BASED ON IMPROVED SPARROW SEARCH ALGORITHM

Liu Yingming¹, Jiao Yifei¹, Wang Xiaodong¹, Ma Zhenhong¹, Li Qing¹, Li Changchuan²

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Abstract

In view of the problem that the traditional independent pitch PI control of wind turbines has poor load reduction performance and is difficult to select control parameters. In this paper, the NREL 5 MW wind turbine is taken as the research object, and an independent pitch PI control parameter and active damping gain optimization method based on the improved sparrow search algorithm are proposed. Firstly, based on the blade root load and blade tip acceleration, an independent pitch active damping control strategy model was established. Secondly, the PI control parameters and active damping gain were initially set by orthogonal experimental method, and in order to realize the coordinated optimization of PI control parameters and active damping gain, with the goal of reducing the asymmetric loads and stable power of the unit, the PI control parameters and active damping gain of independent pitch were optimized based on the improved sparrow search algorithm （ISSA）. Finally, the results are compared with the results of traditional independent pitch control, independent pitch active damping control and independent pitch active damping control based on the sparrow search algorithm （SSA）. The results show that the independent pitch active damping control strategy with optimized control parameters by improving the sparrow search algorithm can better mitigate asymmetric loads of wind turbines and make the output power more stable.

Key words

wind turbines / damping / optimization / independent pitch control / sparrow search algorithm

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Liu Yingming, Jiao Yifei, Wang Xiaodong, Ma Zhenhong, Li Qing, Li Changchuan. OPTIMIZATION OF INDIVIDUAL PITCH ACTIVE DAMPING CONTROL PARAMETERS BASED ON IMPROVED SPARROW SEARCH ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 432-440 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1489

References

[1] LUO X S.An individual pitch control method for floating offshore wind turbine[J]. Journal of physics: conference series, 2022, 2276(1): 012032.
[2] 吴宗卓. 大数据时代群体智能算法的优越性研究[J]. 无线互联科技, 2019, 16(2): 110-111.
WU Z Z.Research on the superiority of swarm intelligence algorithm in the era of big data[J]. Wireless intemet technology, 2019, 16(2): 110-111.
[3] 张良, 何山. 基于权系数法的功率和载荷协同控制策略[J]. 科学技术与工程, 2023, 23(27): 11655-11663.
ZHANG L, HE S.Power and load cooperative control strategy based on weight coefficient method[J]. Science technology and engineering, 2023, 23(27): 11655-11663.
[4] LIU Y M, ZHANG S Y, WANG X D, et al.Optimization of pitch control parameters for a wind turbine based on tower active damping control[J]. Energies, 2022, 15(22): 868.
[5] 邵连友, 廖礼, 郭洪涛, 等. 大型风电机组关键承载部件主动阻尼降载优化控制[J]. 科学技术与工程, 2020, 20(20): 8193-8201.
SHAO L Y, LIAO L, GUO H T, et al.Optimal control onactive damping load reduction for key bearing components of large wind turbines[J]. Science technology and engineering, 2020, 20(20): 8193-8201.
[6] 宋文静, 谢源, 黄文君, 等. 改进灰狼优化算法在变桨距自抗扰控制中的应用[J]. 可再生能源, 2020, 38(7): 905-910.
SONG W J, XIE Y, HUANG W J, et al.Application of improved grey wolf optimization algorithm in variable pitch auto disturbance rejection control[J]. Renewable energy resources, 2020, 38(7): 905-910.
[7] 苑晨阳, 李静, 陈健云, 等. 大型风电机组变桨距ABC-PID 控制研究[J]. 太阳能学报, 2019, 40(10): 3002-3008.
YUAN C Y, LI J, CHEN J Y, et al.Research on ABC-PID pitch control of large-scale wind turbines[J]. Acta energiae solaris sinica, 2019, 40(10): 3002-3008.
[8] 孙欣宇, 向东, 丁伟, 等. 基于麻雀搜索算法的风电机组独立变桨控制研究[J]. 太阳能学报, 2023, 44(10): 266-274.
SUN X Y, XIANG D, DING W, et al.Research on individual pitch control of wind turbine based on sparrow search algorithm[J]. Acta energiae solaris sinica, 2023, 44(10): 266-274.
[9] BORTOLOTTI P, CHETAN M, BRANLARD E, et al.Wind turbine aeroelastic stability in DpenFAST[J]. Journal of physics: conference series, 2004, 2767(2): 022018.
[10] 徐伟业, 钟小勇. 改进麻雀搜索算法的四旋翼PID参数优化设计[J]. 计算机仿真, 2024, 41(1): 48-52,320.
XU W Y, ZHONG X Y.PID parameter optimization design of quadrotor UAV based on improved sparrow search algorithm[J]. Computer simulation, 2024, 41(1): 48-52, 320.
[11] 高峰, 凌新梅, 王伟. 大型风电机组独立变桨控制器PI参数联合整定[J]. 太阳能学报, 2018, 39(2): 307-314.
GAO F, LING X M, WANG W.PI parameters joint tuning forindividual pitch controller of large wind turbine[J]. Acta energiae solaris sinica, 2018, 39(2): 307-314.