Study of Dynamic Response Characteristics of the Wind Turbine Based on Measured Power Spectrum in the Eyewall Region of Typhoons

Han, Ran; Wang, Long; Wang, Tongguang; Gao, Zhiteng; Wu, Jian‐Zhang

doi:10.3390/app9122392

Cited by 8 publications

(5 citation statements)

References 35 publications

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“…As a case study of a WT under typhoon conditions, a commercial 6 MW offshore WT was selected, the main parameters of which are listed in Table 2 [25]. The simulation range of the WT inflow wind speed field is 200 m × 200 m, which is divided into 256 nodes covering the entire wind wheel plane, as shown in Figure 4.…”

Section: Wind Turbine Modelmentioning

confidence: 99%

“…Dong et al [24] reported that WT blades are more susceptible to vibration and instability caused by low-frequency excitation under yawing conditions. In [25], the ultimate load characteristics of 40 m/s applied to WTs at different yaw angles were studied. It was found that the load on the tower exceeded the design limit load at inflow angles of 30 and 120 degrees.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Simulation of the Aeroelastic Response of Wind Turbines in Typhoons Based on the Mesoscale WRF Model

et al. 2019

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A new simulation method for the aeroelastic response of wind turbines under typhoons is proposed. The mesoscale Weather Research and Forecasting (WRF) model was used to simulate a typhoon's average wind speed field. The measured power spectrum and inverse Fourier transform method were coupled to simulate the pulsating wind speed field. Based on the modal method and beam theory, the wind turbine model was constructed, and the GH-BLADED commercial software package was used to calculate the aerodynamic load and aeroelastic response. The proposed method was applied to assess aeroelastic response characteristics of a commercial 6 MW offshore wind turbine under different wind speeds and direction variation patterns for the case study of typhoon Hagupit (2008), with a maximal wind speed of 230 km/h. The simulation results show that the typhoon's average wind speed field and turbulence characteristics simulated by the proposed method are in good agreement with the measured values: Their difference in the main flow direction is only 1.7%. The scope of the wind turbine blade in the typhoon is significantly larger than under normal wind, while that under normal operation is higher than that under shutdown, even at low wind speeds. In addition, an abrupt change in wind direction has a significant impact on wind turbine response characteristics. Under normal operation, a sharp variation of the wind direction by 90 degrees in 6 s increases the wind turbine (WT) vibration scope by 27.9% in comparison with the case of permanent wind direction. In particular, the maximum deflection of the wind tower tip in the incoming flow direction reaches 28.4 m, which significantly exceeds the design standard safety threshold.

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Section: Wind Turbine Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of the Aeroelastic Response of Wind Turbines in Typhoons Based on the Mesoscale WRF Model

et al. 2019

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“…Finally, it diagnoses faults in the field-oriented control of doubly fed induction generators (DFIG) using frequency spectrum and Lissajous curves [6]. Han et al [7] combined the unstable streamlined and WT dynamic models to compute a unique response based on beam theory in a typhoon for 6 MW and 2 MW WTs. Meanwhile, Rolán and Pedra [8] proposed a calculation to investigate DFIG WT.…”

Section: Introductionmentioning

confidence: 99%

Blade imbalance fault identification in doubly fed induction generator through current signature analysis using wavelet transform

Kushwaha,

Yadav,

Maurya

2024

Bulletin EEI

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Using wind turbines (WTs) equipped with doubly fed induction generators (DFIG) is a popular technology for generating renewable energy. To ensure safe operation, prompt maintenance, and better operational reliability, the induction generator used in wind energy must be monitored. In this paper, an analysis is carried out on stator currents of the DFIG machine in a wind farm to identify any blade imbalances in the wind farm. A fault characteristics extraction analysis is carried out on the machine stator currents to detect the fault in the system. Firstly, the mathematical equation of the DFIG blade unbalanced stator current is generated using the DFIG model. Secondly, Park's Transformation is used to modify the stator's 3-phase current. Further, by evaluating the feature frequency amplitude variation in the squared signal by doing a spectral analysis on the stator current vector's squared signal. Lastly, a Simulink model for the DFIG is developed. The suggested approach analyses the fault signal of the imbalanced blade fault at various wind velocities. The outcomes show that the suggested method for diagnosing impeller imbalance faults can successfully locate the fault.

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“…In addition, in terms of the impact of typhoons on the overall performance of wind turbines, Ran Han [17] studied the dynamic response of 2 MW and 6 MW wind turbines at different yaw angles based on the blade element momentum theory and multi-body dynamics. The results show that the tip deflection reaches its maximum when the yaw angle is between 30 • and 120 • , and this conclusion is universal.…”

Section: Introductionmentioning

confidence: 99%

Research on Flutter Characterization of Flexible Blade Response under Typhoon Operating Conditions

Liu,

Han,

Tian

et al. 2024

Energies

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Wind turbine blades, being flexible, are susceptible to damage during typhoons. Studying the aeroelastic response of these blades in typhoon conditions is crucial for providing a theoretical foundation for their optimization and design. This research focuses on the NREL 5 MW flexible blade, employing the B-L stall model for dynamic inflow and geometrically exact beam theory to develop an aeroelastic model capable of predicting the blade’s flutter limit. Through quantitative analysis, we assess the stability of the wind turbine’s flexible blade under typhoon conditions and examine the blade tip’s transient response. The findings indicate that the model’s flutter speed is 21.5 rpm, marked by a significant increase in tip deflection’s mean square error of over 80% and a coupling of flapwise and torsional modes at 4.81 Hz. The blade tip’s transient response under typhoon conditions does not satisfy the flutter criterion, thus preventing instability. Under typhoon conditions, the deflection in the flapwise, edgewise, and twist directions of the blade shows an increase of 12.1%, 10.5%, and 119.2%, respectively, compared to standard operating conditions.

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Study of Dynamic Response Characteristics of the Wind Turbine Based on Measured Power Spectrum in the Eyewall Region of Typhoons

Cited by 8 publications

References 35 publications

Numerical Simulation of the Aeroelastic Response of Wind Turbines in Typhoons Based on the Mesoscale WRF Model

Numerical Simulation of the Aeroelastic Response of Wind Turbines in Typhoons Based on the Mesoscale WRF Model

Blade imbalance fault identification in doubly fed induction generator through current signature analysis using wavelet transform

Research on Flutter Characterization of Flexible Blade Response under Typhoon Operating Conditions

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