FAULT CHARACTERISTICS ANALYSIS OF PERMANENT MAGNETIC WIND TURBINES CONSIDERING WIND SPEED DISTRIBUTION DIFFERENCES

Sheng Xiaoling, Han Xuchao, Wan Shuting

Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (2) : 123-132.

PDF(2202 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(2202 KB)
Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (2) : 123-132. DOI: 10.19912/j.0254-0096.tynxb.2021-1088

FAULT CHARACTERISTICS ANALYSIS OF PERMANENT MAGNETIC WIND TURBINES CONSIDERING WIND SPEED DISTRIBUTION DIFFERENCES

  • Sheng Xiaoling, Han Xuchao, Wan Shuting
Author information +
History +

Abstract

In order to identify the fault characteristics of wind turbines with permanent magnetic synchronous generators more effectively, the spatial-temporal distribution differences of wind speed caused by wind shear and tower shadow are considered comprehensively based on the actual wind condition in the swept area of the rotor disk, and the influence of these differences on the fault characteristics of wind turbines is studied. Firstly, the wind speed model considering the spatial-temporal distribution differences of wind speed (equivalent wind speed model) is introduced, and then the characteristics of the typical electrical and mechanical faults of wind turbine generator system are analyzed theoretically based on this model. The expressions of the stator current under stator winding asymmetry fault, blade imbalance fault, and the combination of these two faults are re-derived respectively considering the spatial-temporal distribution differences of wind speed. Finally, the simulation in Matlab/Simulink platform is used to verify the theory analysis. The results show that new fault characteristics will appear considering the spatial-temporal distribution differences of wind speed compared with the existing fault characteristics based on the average wind speed at the hub. The winding asymmetry fault characteristics contain the modulation frequency of 3kPk is integer, P is the blade rotation frequency). There exists the effect of coupling modulation of P and 3kP under the blade imbalance fault in addition to P and 3kP. The fault frequency components will be more complex under the compound fault.

Key words

permanent magnet synchronous generator / fault diagnosis / wind speed / winding asymmetry / blade imbalance

Cite this article

Download Citations
Sheng Xiaoling, Han Xuchao, Wan Shuting. FAULT CHARACTERISTICS ANALYSIS OF PERMANENT MAGNETIC WIND TURBINES CONSIDERING WIND SPEED DISTRIBUTION DIFFERENCES[J]. Acta Energiae Solaris Sinica. 2023, 44(2): 123-132 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1088

References

[1] KOMUSANAC I, BRINDLEY G, FRAILE D, et al.Wind energy in Europe-2021 statistics and the outlook for 2022-2026[R]. Wind Europe, Brussels, Belgium, Technical Report, 2022.
[2] 中国农机工业协会风力机械分会. 中国风电后市场发展报告(2019—2020)[R]. 无锡, 中国, 2020.
Wind power machinery branch of China Agricultural Machinery Industry Association. China wind power after market development report(2019—2020)[R]. Wuxi, China, 2020.
[3] DOLAN D S L, LEHN P W. 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.
[4] DE KOONING J D M, VANDOORN T L, VAN DE VYVER J, et al. Shaft speed ripples in wind turbines caused by tower shadow and wind shear[J]. IET renewable power generation, 2014, 8(2): 195-202.
[5] SINTRA H, MENDESA V M F, MELÍCIO R. Modeling and simulation of wind shear and tower shadow on wind turbines[J]. Procedia technology, 2014, 17: 471-477.
[6] 孔屹刚, 王杰, 顾浩, 等. 基于风剪切和塔影效应的风力机风速动态建模[J]. 太阳能学报, 2011, 32(8): 1237-1244.
KONG Y G, WANG J, GU H, et al.Dynamics modeling of wind speed based on wind shear and tower shadow for wind turbine[J]. Acta energiae solaris sinica, 2011, 32(8): 1237-1244.
[7] 孔屹刚, 王杰, 顾浩, 等. 大型风力机气动载荷分析与功率控制[J]. 太阳能学报, 2012, 33(6): 1023-1029.
KONG Y G, WANG J, GU H, et al.Aerodynamic load analysis and power control for large wind turbine[J]. Acta energiae solaris sinica, 2012, 33(6): 1023-1029.
[8] 周波, 龚华军, 甄子洋. 风切变和塔影效应对风力机变桨距控制的影响分析[J]. 可再生能源, 2012, 30(1): 27-32.
ZHOU B, GONG H J, ZHEN Z Y.The analysis of the pitch control of wind turbine by the influences of wind shear and tower shadow[J]. Renewable energy resources, 2012, 30(1): 27-32.
[9] HUGHES F M, ANAYA-LARA O, RAMTHARAN G, et al.Influence of tower shadow and wind turbulence on the performance of power system stabilizers for DFIG-based wind farms[J]. IEEE transactions on energy conversion, 2008, 23(2): 519-528.
[10] TAN J, HU W H, WANG X R, et al.Effect of tower shadow and wind shear in a wind farm on AC tie-line power oscillations of interconnected power systems[J]. Energies,2013, 6(12): 6352-6372.
[11] WEN B R, WEI S, WEI K X, et al.Power fluctuation and power loss of wind turbines due to wind shear and tower shadow[J]. Frontiers of mechanical engineering, 2017, 12(3): 321-332.
[12] STIVAL L J L, GUETTER A K, ANDRADE F O. The impact of wind shear and turbulence intensity on wind turbine power performance[J]. Espaço energia, 2017, 27: 11-20.
[13] CHENG M, HANG J, ZHANG J Z.Overview of fault diagnosis theory and method for permanent magnet machine[J]. Chinese journal of electrical engineering, 2015,1(1): 21-36.
[14] URRESTYJ C.Electrical and magnetic faults diagnosis in permanent magnet synchronous motors[D]. Barcelona: Polytechnic University of Catalonia, 2012.
[15] 杭俊. 永磁直驱风力发电机组故障诊断技术研究[D]. 南京: 东南大学, 2016.
HANG J.Fault diagnosis technology of direct-driven wind turbine with permanent magnet machine[D]. Nanjing: Southeast University, 2016.
[16] VEDREÑO-SANTOS F, RIERA-GUASP M, HENAO H, et al. Diagnosis of rotor and stator asymmetries in wound-rotor induction machines under nonstationary operation through the instantaneous frequency[J]. IEEE transactions on industrial electronics, 2014, 61(9): 4947-4959.
[17] 丁石川, 童琛, 杭俊, 等. 磁通反向永磁电机的定子绕组电阻不平衡故障程度定量估算研究[J]. 电机与控制学报, 2019, 23(7): 79-86.
DING S C, TONG C, HANG J, et al.Quantitative evaluation of stator winding resistance imbalance fault severity of flux-reversal permanent magnet machine[J]. Eletric machines and control, 2019, 23(7): 79-86.
[18] HANG J, WU H, DING S C, et al.A DC-flux-injection method for fault diagnosis of high-resistance connection in direct-torque-controlled PMSM drive system[J]. IEEE transactions on power electronics,2020, 35(3): 3029-3042.
[19] CASELITZ P, GIEBHARDT J.Rotor condition monitoring for improved operational safety of offshore wind energy converters[J]. Journal of solar energy engineering, 2005, 127(2): 253-261.
[20] JIANG D X, HUANG Q, HONG L Y.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.
[21] 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 T, REN Y, LIU X, et al.Research on the modeling and simulation of wind turbine rotor imbalance fault[J]. Journal of mechanical engineering, 2012, 48(6): 130-135.
[22] JEFFRIES W Q, CHAMBERS J A and INFIELD D G. Experience with bicoherence of electrical power for condition monitoring of wind turbine blades[J]. IEEE proceedings: vision, image and signal processing, 1998, 145(3): 141-148.
[23] TSAI C S.Enhancement of damage-detection of wind turbine blades via CWT-based approaches[J]. IEEE transaction on energy conversion, 2006, 21(3): 776-781.
[24] 杭俊, 张建忠, 程明, 等. 直驱永磁同步风电机组叶轮不平衡和绕组不对称的故障诊断[J]. 中国电机工程学报, 2014, 34(9): 1384-1391.
HANG J, ZHANG J Z, CHENG M, et al.Fault diagnosis of blade imbalance and winding asymmetry of direct-driven wind turbine with permanent magnet synchronous generator[J]. Proceedings of the CSEE, 2014, 34(9): 1384-1391.
[25] 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 H, YANG D, YANG C, et al.Blade imbalance fault diagnosis of doubly fed wind turbines based on stator current feature analysis[J]. Automation of electric power systems, 2015, 39(13): 32-37.
[26] 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 X L, WAN S T, LI Y G, et al.Fault diagnosis for blade mass imbalance of wind turbines with DFIG based on coordinate transformation[J]. Transactions of China Electrotechnical Society, 2016, 31(7): 188-197.
[27] SHENG X L, WAN S T, CHENG K R, et al.Research on the fault characteristic of wind turbine generator system considering the spatiotemporal distribution of the actual wind speed[J]. Energies, 2020, 13(2): 356.
PDF(2202 KB)

Accesses

Citation

Detail

Sections
Recommended

/