<b>A Damping Method for Torsional Vibrations in a DFIG Wind Turbine System Based on Small-Signal Analysis</b>

Liu, Libo; Xie, Da; Chu, Haoxiang; Gu, Chenghong

doi:10.1080/15325008.2016.1274344

Cited by 10 publications

(4 citation statements)

References 23 publications

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“…The study system is based on the NREL 5MW WT model given in [15]. Since the NREL drive-train is based on the two-mass model, to develop it to the three-mass model, the NREL drive-train parameters are slightly modified according to [14,26,27].…”

Section: Drive-train Modellingmentioning

confidence: 99%

An efficient power control strategy for active mitigation of blade in‐plane fatigue loading in PMSG‐based wind turbines

Safaeinejad,

Rahimi,

Zhou

et al. 2024

IET Renewable Power Gen

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This paper assesses the dynamic performance of permanent magnet synchronous generator‐based wind turbine (WT) regarding the blade in‐plane fatigue loads once the WT is controlled in power control mode. Blade in‐plane oscillations, associated with the poorly blade in‐plane modes, can be excited by turbulent winds or grid disturbances that may lead to damage of the blades and reduce the drive‐train reliability. To overcome this drawback, at first, a model with three degrees of freedom is extracted for the drive‐train system, and then, an active mitigation approach is proposed to mitigate the blade in‐plane oscillations. The proposed method can effectively suppress the blade in‐plane vibrations by adding a supplementary term into the power control loop that is proportional to the speed difference between the blade and generator. The speed difference between the blade and generator is obtained by estimation of the blade‐hub and hub‐generator shaft torsional torques. Next, the performance of the proposed active mitigation approach is examined by the modal and frequency response analyses and time‐domain simulations. Finally, it is shown that the proposed approach has superior performance over the conventional approaches based on the simplified drive‐train model and crossing the measured generator speed through a band‐pass filter.

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Section: Drive-train Modellingmentioning

confidence: 99%

An efficient power control strategy for active mitigation of blade in‐plane fatigue loading in PMSG‐based wind turbines

Safaeinejad,

Rahimi,

Zhou

et al. 2024

IET Renewable Power Gen

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“…The low-speed shaft connects the blades to the gearbox, and the high-speed shaft connects the gearbox to the induction generator unit. In addition, the output of the rotor circuit enters the power grid via the converter device, while the stator circuit is directly connected to the external power grid [8,20].…”

Section: Oscillation Modes Analysis Based On the Small-signal Modelmentioning

confidence: 99%

Correlation Analysis between Wind Speed/Voltage Clusters and Oscillation Modes of Doubly-Fed Induction Generators

Miao

Xie

et al. 2018

Energies

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Potential machine-grid interactions caused by large-scale wind farms have drawn much attention in recent years. Previous work has been done by analyzing the small-signal modeling of doubly-fed induction generators (DFIGs) to obtain the oscillation modes. This paper, by making use of the metered power data of wind generating sets, studies the correlation between oscillation modes of the DFIG system and influence factors which includes wind speed and grid voltage. After the metered data is segmented, the Prony algorithm is used to analyze the oscillation modes contained in the active power. Then, the relevant oscillation modes are extracted in accordance with the small-signal analysis results. Meanwhile, data segments are clustered according to wind speed and grid voltage. The Apriori algorithm is finally used to discuss the association rules. By training the mass of data of wind generating sets, the inevitable association rules between oscillation modes and influence factors can be mined. Therefore, the prediction of oscillation modes can be achieved based on the rules. The results show that the clustering number quite affects the association rules. When the optimal cluster number is adopted, part of the wind speed/voltage clusters can analyze the certain oscillation modes. The predicted results are quite consistent with the practical data.Energies 2018, 11, 2370 2 of 21 (doubly-fed) induction motor wind turbine, providing a lot of flexibility for wind turbines and their controllers. In [7], a small-signal model of the direct-drive permanent magnet synchronous generator is established to study the stability of the grid-connected wind generating sets after the small disturbance, and the parameters of the controller are designed effectively. Reference [8] aimed at the suppression of torsional vibrations caused by small electrical disturbances from the grid side in a DFIG-based wind turbine system. The Prony algorithm is a complementary method used in the time-domain model system. It decomposes time-domain signals into damped sinusoids with four parameters per mode: frequency, damping, amplitude and phase. Compared with small-signal analysis, the Prony analysis shows an advantage when the system turns complicated because the former has difficulty solving high-order matrix [9,10]. All the papers above investigated the wind power oscillation mechanism and suppression method by modeling methods. However, the operation of wind generating sets is affected by factors which are more complex than the modeling simulation. A more direct and convenient way is to directly use the metered data.With the advent of the big data era, the vast amounts of data collected from wind farms conceals vast information [11]. Data mining and machine learning theory including correlation analysis, cluster analysis, classification analysis, have brought new ideas to power research [12]. Among them, the Apriori algorithm, one of the correlation algorithms, provides an effective solution for exploring the association relationship between large dat...

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“…In recent years, some scholars have done some research on control of the WT drive chain. Among other things, researchers studied the following: control of the DFIG by controlling the active and reactive power [4,5]; the control strategy under the grid fault of WT [6][7][8]; suppression of the torsional vibration by controlling the mechanical torque of the drive chain through pitch angle [9][10][11][12]; control of torsional vibration based on Small-Signal Analysis [13]; electromechanical oscillation damping [14]; and using the variable pitch system and converter as actuators to reduce the dynamic load of the WT to suppress torsional vibration of drive chain [15]. Although these methods have played a certain role in increasing damping and reducing torsional vibration, most of the research was on cases of grid faults or mechanical torque, and involve little about long-term low-amplitude and low-frequency torsional vibration of the drive chain during normal operation of the grid.…”

Section: Introductionmentioning

confidence: 99%

Active Control of Drive Chain Torsional Vibration for DFIG-Based Wind Turbine

Tian

Zhang

et al. 2019

Energies

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Due to the fast electric control of the doubly-fed induction generator (DFIG) when experiencing power grid disturbance or turbulent wind, the flexible drive chain of the wind turbine (WT) generates long-term torsional vibration, which shortens the service life of the drive chain. The torsional vibration causes fatigue damage of the gearbox and affects power generation. In this paper, a two-channel active damping control measure is proposed. The strategy forms a new WT electromagnetic torque reference value through two channels: one is a proportion integration differentiation (PID) damping term with frequency difference, which is used to reduce torsional vibration caused by frequency difference between fan and shafting; the other adopts the torsional vibration angle (θs) as the feedback signal, and an additional damping term is formed by bandpass filter (BPF) and trap filter (BRF). The strategy can increase the electromagnetic torque and suppress the torsional vibration of the drive chain. Finally, modeling and simulation using MATLAB/Simulink show that the method can effectively suppress the torsional vibration of the drive chain without affecting power generation.

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A Damping Method for Torsional Vibrations in a DFIG Wind Turbine System Based on Small-Signal Analysis

Cited by 10 publications

References 23 publications

An efficient power control strategy for active mitigation of blade in‐plane fatigue loading in PMSG‐based wind turbines

An efficient power control strategy for active mitigation of blade in‐plane fatigue loading in PMSG‐based wind turbines

Correlation Analysis between Wind Speed/Voltage Clusters and Oscillation Modes of Doubly-Fed Induction Generators

Active Control of Drive Chain Torsional Vibration for DFIG-Based Wind Turbine

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