基于Hilbert变换的双馈风力发电机叶轮质量不平衡故障特性分析

doi:10.19595/j.cnki.1000-6753.tces.200506

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Abstract Blade mass imbalance is one of the common faults of wind turbines. Most of the analysis methods are based on the average wind speed at the hub, ignoring the influence of wind speed spatiotemporal distribution on the fault characteristics. This paper analyzes the fault characteristics of the blade mass imbalance considering the wind speed spatiotemporal distribution. Firstly, the fault characteristics are analyzed, and taking the wind shear and tower shadow effects into account, the analytical expressions and the change characteristics of the rotor angular velocity, the stator and rotor currents under the blade mass imbalance condition are discussed. Then, the DFIG model and the equivalent wind speed model based on the basic wind speed were built in Matlab/Simulink, and the electrical signal was analyzed using Hilbert demodulation to verify the correctness of the analytical derivation. The results show that after considering the influence of the wind speed spatiotemporal distribution, the blade mass imbalance fault will result in one-fold and 3i (i=1, 2,…, n) fold rotating frequency fluctuations in the rotor angular velocity, and the modulation frequencies in the stator and rotor currents are one-fold and 3i-fold rotating frequencies, among which the 3i-fold rotating frequency fluctuation is caused by the spatiotemporal distribution of wind speed.

Key words： Doubly-fed induction generator wind speed spatiotemporal distribution blade mass imbalance electrical characteristics Hilbert demodulation

Received: 14 May 2020

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TM315

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	Cheng Kanru
	Wan Shuting
	Sheng Xiaoling
	Wang Xuan

Cite this article:

Cheng Kanru,Wan Shuting,Sheng Xiaoling等. Characteristic Analysis of Blade Mass Imbalance Fault of Doubly-Fed Induction Generator Based on Hilbert Transform[J]. Transactions of China Electrotechnical Society, 2021, 36(24): 5225-5236.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200506 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I24/5225

[1] 王涛, 诸自强, 年珩. 非理想电网下双馈风力发电系统运行技术综述[J]. 电工技术学报, 2020, 35(3): 455-471.
Wang Tao, Zhu Ziqiang, Nian Heng.Review of operation technology of doubly-fed induction generator- based wind power system under nonideal grid conditions[J]. Transactions of China Electrotechnical Society, 2020, 35(3): 455-471.
[2] 章艳, 高晗, 张萌. 不同虚拟同步机控制下双馈风机系统频率响应差异研究[J]. 电工技术学报, 2020, 35(13): 2889-2900.
Zhang Yan, Gao Han, Zhang Meng.Research on frequency response difference of doubly-fed indu- ction generator system controlled by different virtual synchronous generator controls[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2889-2900.
[3] Ramlau R, Niebsch J.Imbalance estimation without test asses for wind turbines[J]. Journal of Solar Energy Engineering, 2009, 131(1): 0110101-0110107.
[4] Jiang Dongxiang, Huang Qian, Hong Liangyou.Theoretical and experimental study on wind wheel imbalance for a wind turbine[C]//World Non-Grid- Connected Wind Power and Energy Conference, Nanjing, China, 2009: 351-355.
[5] Zhao Minghao, Jiang Dongxiang, Li Shaohua.Research on fault mechanism of icing of wind turbine blades[C]//World Non-Grid-Connected Wind Power and Energy Conference, Nanjing, China, 2009: 356-359.
[6] 杨涛, 任永, 刘霞, 等. 风力机叶轮质量不平衡故障建模及仿真研究[J]. 机械工程学报, 2012, 48(6): 130-135.
Yang Tao, Ren Yong, Liu Xia, et al.Research on the modeling and simulation of wind turbine rotor imbalance fault[J]. Journal of Mechanical Engin- eering, 2012, 48(6): 130-135.
[7] Xiang Gong, Wei Qiao.Simulation investigation of wind turbine imbalance faults[C]//International Con- ference on Power System Technology, Hangzhou, China, 2010: 1-7.
[8] Xiang Gong, Wei Qiao.Imbalance fault detection of direct-drive wind turbines using generator current signals[J]. IEEE Transactions on Energy Conversion, 2012, 27(2): 468-476.
[9] 李辉, 杨东, 杨超, 等. 基于定子电流特征分析的双馈风电机组叶轮不平衡故障诊断[J]. 电力系统自动化, 2015, 39(13): 32-37.
Li Hui, Yang Dong, Yang Chao, et al.Blade imbalance fault diagnosis of double fed wind turbines based on stator current feature analysis[J]. Auto- mation of Electric Power Systems, 2015, 39(13): 32-37.
[10] 绳晓玲, 万书亭, 李永刚, 等. 叶轮质量不平衡故障下双馈风力发电机特性分析[J]. 太阳能学报, 2017, 38(5): 1324-1332.
Sheng Xiaoling, Wan Shuting, Li Yonggang, et al.Characteristic analysis of doubly-fed induction generator under blade mass imbalance fault[J]. Acta Energiae Solaris Sinica, 2017, 38(5): 1324-1332.
[11] 张米露, 王天真, 汤天浩, 等. 直驱式永磁同步海流机叶轮不平衡的故障检测[J]. 电工技术学报, 2018, 33(1): 38-47.
Zhang Milu, Wang Tianzhen, Tang Tianhao, et al.Blade imbalance fault detection method for direct- driven marine current turbine with permanent magnet synchronous generator[J]. Transactions of China Electrotechnical Society, 2018, 33(1): 38-47.
[12] 宋向金, 王卓, 胡静涛, 等. Hilbert解调制方法诊断异步电机轴承故障[J]. 电工技术学报, 2018, 33(21): 4941-4948.
Song Xiangjin, Wang Zhuo, Hu Jingtao.Diagnosis of bearing fault in induction motors using Hilbert demodulation approach[J]. Transactions of China Electrotechnical Society, 2018, 33(21): 4941-4948.
[13] 陈继宁, 马宏忠, 时维俊, 等. 基于希尔伯特-黄变换的双馈异步风力发电机定子故障诊断研究[J]. 大电机技术, 2013(2): 34-38.
Chen Jining, Ma Hongzhong, Shi Weijun, et al.Study of stator inter-turn short fault diagnosis of DFIG- based wind turbines based on Hilbert-Huang trans- form[J]. Large Electric Machine and Hydraulic Turbine, 2013(2): 34-38.
[14] 陈勇, 梁洪, 王成栋, 等. 基于改进小波包变换和信号融合的永磁同步电机匝间短路故障检测[J]. 电工技术学报, 2020, 35(增刊1): 228-234.
Chen Yong, Liang Hong, Wang Chengdong, et al.Detection of stator inter-turn short-circuit fault in PMSM based on improved wavelet packet transform and signal fusion[J]. Transactions of China Electro- technical Society, 2020, 35(S1): 228-234.
[15] 贺益康, 胡家兵, 徐烈. 并网双馈异步风力发电机运行控制[M]. 北京: 中国电力出版社, 2011.
[16] 荣飞, 李培瑶, 周诗嘉. 双馈风电场损耗最小化的有功无功协调优化控制[J]. 电工技术学报, 2020, 35(3): 520-529.
Rong Fei, Li Peiyao, Zhou Shijia.Coordinated optimal control with loss minimization for active and reactive power of doubly fed induction generator- based wind farm[J]. Transactions of China Electro- technical Society, 2020, 35(3): 520-529.
[17] Dale S L D, Peter W L. Simulation model of wind turbine 3p torque oscillations due to wind shear and tower shadow[J]. IEEE Transactions on Energy Conversion, 2006, 21(3): 717-724.
[18] 绳晓玲, 万书亭, 李永刚, 等. 基于坐标变换的双馈风力发电机组叶片质量不平衡故障诊断[J]. 电工技术学报, 2016, 31(7): 188-197.
Sheng Xiaoling, Wan Shuting, Li Yonggang, et al.Fault diagnosis for blade mass imbalance of wind turbines with DFIG based on coordinate transfor- mation[J]. Transactions of China Electrotechnical Society, 2016, 31(7): 188-197.
[19] 蒋海峰, 张曼, 赵斌炎, 等. 基于改进Hilbert-Huang变换的电网故障诊断[J]. 电工技术学报, 2019, 34(增刊1): 336-342, 351.
Jiang Haifeng, Zhang Man, Zhao Binyan, et al.Fault diagnosis of power grid based on improved Hilbert- Huang transform[J]. Transactions of China Electro- technical Society, 2019, 34(S1): 336-342, 351.
[20] 张民谣, 高云鹏, 吴聪, 等. 基于自适应变分模式分解的非稳态电压闪变包络参数检测[J]. 电工技术学报, 2021, 36(3): 599-608.
Zhang Minyao, Gao Yunpeng, Wu Cong, et al.Non- stationary voltage flicker envelope parameters detection based on adaptive variational mode decom- position[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 599-608.