一种利用风电机组风轮大转动惯量平抑功率波动的控制策略

杨欢红, 郑颖, 贾大江

太阳能学报 ›› 2026, Vol. 47 ›› Issue (6) : 316-326.

PDF(2100 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(2100 KB)
太阳能学报 ›› 2026, Vol. 47 ›› Issue (6) : 316-326. DOI: 10.19912/j.0254-0096.tynxb.2025-0087

一种利用风电机组风轮大转动惯量平抑功率波动的控制策略

  • 杨欢红1, 郑颖1, 贾大江2
作者信息 +

CONTROL STRATEGY FOR STABILIZING POWER FLUCTUATIONS BY UTILIZING LARGE ROTATIONAL INERTIA OF WIND TURBINE BLADE

  • Yang Huanhong1, Zheng Ying1, Jia Dajiang2
Author information +
文章历史 +

摘要

针对现代大型风力发电机组在额定风速以下的输出功率波动问题,提出一种利用风轮大转动惯量实现无储能系统的功率平抑策略。首先利用风电机组本身特性给出具有即时性的精确等效风速参与控制;通过基于高气动效率区宽速比的叶片设计对每段风速设置转速上下限,同时给出整个惯量控制过程,实现风轮的能量储存和释放;通过大数据构建多个基于风速脉动趋势斜率的预判模型,实现转矩预判动作。最后,在专业仿真软件Bladed和实际某风场中进行功率输出对比仿真和实验。其结果表明,所采用的策略在不外加储能设备的情况下,有效平稳了风力发电机组的输出功率。

Abstract

A power smoothing strategy without energy storage system by utilizing the large rotational inertia of the wind turbine rotor to achieve power smoothing is proposed to solve the problem of output power fluctuations of modern large-scale wind turbines under rated wind speed. Firstly, the inherent characteristics of the wind turbines are employed to provide an immediate and accurate equivalent wind speed for control participation. Secondly, the upper and lower limits of the rotational speed are set for each wind speed segment based on high aerodynamic efficiency zone and wide speed-ratio design, and the entire inertia control process is given simultaneously to achieve the energy storage and release of the wind turbine rotor. Subsequently, multiple prediction models based on the slope of the wind speed pulsation trend are constructed via big data sources to realize the predictive action of the torque. Finally, the comparative simulation experiments of the power output of the wind turbine are carried out by BLADED simulation software and a certain actual wind farm. The results show that the adopted strategy stabilizes the output power effectively without the additional energy storage devices.

关键词

风电功率 / 风速 / 风轮叶片 / 叶尖速比 / 转动惯量 / 大数据

Key words

wind power / wind speed / wind turbine blades / tip-speed ratio / rotational of inertia / big data

引用本文

导出引用
杨欢红, 郑颖, 贾大江. 一种利用风电机组风轮大转动惯量平抑功率波动的控制策略[J]. 太阳能学报. 2026, 47(6): 316-326 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0087
Yang Huanhong, Zheng Ying, Jia Dajiang. CONTROL STRATEGY FOR STABILIZING POWER FLUCTUATIONS BY UTILIZING LARGE ROTATIONAL INERTIA OF WIND TURBINE BLADE[J]. Acta Energiae Solaris Sinica. 2026, 47(6): 316-326 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0087
中图分类号: TM614   

参考文献

[1] TANG M N, WANG W J, ZHEN X F, et al.Robust control of wind turbines to reduce wind power fluctuation[J]. Energy science & engineering, 2024, 12(5): 1818-1834.
[2] 周皓, 李军徽, 葛长兴, 等. 改善风电并网电能质量的飞轮储能系统能量管理系统设计[J]. 太阳能学报, 2021, 42(3): 105-113.
ZHOU H, LI J H, GE C X, et al.Research on improving power quality of wind power system based on energy management system of flywheel energy storage system[J]. Acta energiae solaris sinica, 2021, 42(3): 105-113.
[3] 聂永辉, 张丽丽, 张立栋, 等. 一种基于VSG的风电机组与飞轮储能协调控制方法[J]. 太阳能学报, 2021, 42(8): 387-393.
NIE Y H, ZHANG L L, ZHANG L D, et al.A VSG-based coordinated control method for wind turbine and flywheel energy storage[J]. Acta energiae solaris sinica, 2021, 42(8): 387-393.
[4] 陈玉龙, 武鑫, 滕伟, 等. 用于风电功率平抑的飞轮储能阵列功率协调控制策略[J]. 储能科学与技术, 2022, 11(2): 600-608.
CHEN Y L, WU X, TENG W, et al.Power coordinated control strategy of flywheel energy storage array for wind power smoothing[J]. Energy storage science and technology, 2022, 11(2): 600-608.
[5] 武鑫, 李洋涛, 马志勇, 等. 基于改进小波包分解的混合储能系统容量配置方法[J]. 太阳能学报, 2023, 44(8): 23-29.
WU X, LI Y T, MA Z Y, et al.Capacity configuration method of hybrid energy storage system based on improved wavelet packet decomposition[J]. Acta energiae solaris sinica, 2023, 44(8): 23-29.
[6] WANG X, ZHOU J S, QIN B, et al.Coordinated power smoothing control strategy of multi-wind turbines and energy storage systems in wind farm based on MADRL[J]. IEEE transactions on sustainable energy, 2024, 15(1): 368-380.
[7] WAN C, QIAN W T, ZHAO C F, et al.Probabilistic forecasting based sizing and control of hybrid energy storage for wind power smoothing[J]. IEEE transactions on sustainable energy, 2021, 12(4): 1841-1852.
[8] 殷明慧, 蒯狄正, 李群, 等. 风机最大功率点跟踪的失效现象[J]. 中国电机工程学报, 2011, 31(18): 40-47.
YIN M H, KUAI D Z, LI Q, et al.A phenomenon of maximum power point tracking invalidity of wind turbines[J]. Proceedings of the CSEE, 2011, 31(18): 40-47.
[9] 陈佳, 岑丽辉, 曹安康, 等. 一种考虑风力机实际大转动惯量的改进最优转矩法[J]. 太阳能学报, 2021, 42(6): 297-303.
CHEN J, CEN L H, CAO A K, et al.An improved optimal torque control of wind turbine considering actual large rotational inertia[J]. Acta energiae solaris sinica, 2021, 42(6): 297-303.
[10] 韩花丽, 张根保, 杨微. 湍流强度对风电机组测量功率曲线的影响及修正[J]. 太阳能学报, 2015, 36(6): 1442-1447.
HAN H L, ZHANG G B, YANG W.Influence and adjustment of turbulence intensity on measured power curve of wind turbine[J]. Acta energiae solaris sinica, 2015, 36(6): 1442-1447.
[11] 周连俊, 殷明慧, 杨炯明, 等. 考虑变化湍流风速条件的风电机组改进自适应转矩控制[J]. 电力系统自动化, 2021, 45(1): 184-191.
ZHOU L J, YIN M H, YANG J M, et al.Improved adaptive torque control for wind turbine considering varying turbulence conditions[J]. Automation of electric power systems, 2021, 45(1): 184-191.
[12] ERDENEBAT M, MOON C J, BAYASGALAN Z.Wind turbine power control for turbulence wind speed[C]//2020 IEEE Region 10 Symposium (TENSYMP). Dhaka, Bangladesh, 2020: 539-542.
[13] NAIK K A, GUPTA C P, FERNANDEZ E.Wind power smoothing in partial load region with advanced fuzzy-logic based pitch-angle controller[J]. Wind engineering, 2022, 46(1): 52-68.
[14] 赵骞, 邵一川, 姚兴佳, 等. 风电机组基于最优跟踪路径的改进型MPPT控制[J]. 中国电机工程学报, 2020, 40(1): 282-289.
ZHAO Q, SHAO Y C, YAO X J, et al.Improved MPPT control of wind turbine based on optimal tracking path[J]. Proceedings of the CSEE, 2020, 40(1): 282-289.
[15] ZHU Y, WANG Z C, GUO X B, et al.An improved kinetic energy control strategy for power smoothing of PMSG-WECS based on low pass filter and fuzzy logic controller[J]. Electric power systems research, 2023, 214: 108816.
[16] 朱菊萍, 魏霞, 谢丽蓉, 等. 基于VMD和改进BiLSTM的短期风电功率预测[J]. 太阳能学报, 2024, 45(6): 422-428.
ZHU J P, WEI X, XIE L R, et al.Short-term wind power prediction based on VMD and improved BiLSTM[J]. Acta energiae solaris sinica, 2024, 45(6): 422-428.
[17] HU W C, CHENG B L, YANG Q S, et al.A novel two-layer hybrid model for ultra-short-term wind speed prediction based on SSP and BO-LSTM[J]. Wind and structures, 2023, 36(5): 293-305.
[18] ZHANG Z, WANG Y S, XU Z W, et al.Multiscale ultra-short-term wind power prediction model based on GD-IFEM-PSO and VMD-BP[J]. Energy science & engineering, 2023, 11(12): 4700-4721.
[19] 李少林, 王伟胜, 张兴, 等. 风力发电对系统频率影响及虚拟惯量综合控制[J]. 电力系统自动化, 2019, 43(15): 64-70.
LI S L, WANG W S, ZHANG X, et al.Impact of wind power on power system frequency and combined virtual inertia control[J]. Automation of electric power systems, 2019, 43(15): 64-70.
[20] 蔡国伟, 钟超, 吴刚, 等. 考虑风电机组超速减载与惯量控制的电力系统机组组合策略[J]. 电力系统自动化, 2021, 45(16): 134-142.
CAI G W, ZHONG C, WU G, et al.Unit commitment strategy of power system considering overspeed load reduction and inertia control of wind turbine[J]. Automation of electric power systems, 2021, 45(16): 134-142.

基金

国家自然科学基金(52177100)

PDF(2100 KB)

Accesses

Citation

Detail

段落导航
相关文章

/