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16 June 2026

27 Pages

Impact of DC-Link Dynamics on Shaft Damping and Grid Frequency Coupling in Doubly Fed Induction Generator Wind Turbines: Mechanism Analysis and a Suppression Strategy

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School of Electrical Engineering, Guangxi University, Nanning 530004, China
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Author to whom correspondence should be addressed.
This article belongs to the Topic Sustainable Energy Systems

Abstract

In this paper, we address shaft oscillations and grid-connected oscillation frequency coupling in doubly fed induction generators (DFIGs) under DC-link dynamics. A comprehensive DFIG shaft system model incorporating DC-link dynamics is established, and frequency coupling is analyzed. From our findings, we reached the following conclusions: (a) DC-link voltage fluctuations alter electromagnetic torque through rotor-side converter (RSC) and grid-side converter (GSC) coupling, affecting shaft dynamics; (b) DC-link dynamics compromise grid connection stability by influencing both GSC and RSC output voltages. To mitigate these effects, a DC-link dynamics suppression module is proposed. Simulations confirm that in maximum power point tracking (MPPT) mode, the module enhances electrical positive damping and improves shaft stability. In constant power mode, its stabilizing effect is comparatively limited. The suppression module effectively mitigates grid-connected frequency coupling during DC-link voltage fluctuations.

1. Introduction

With the advancement of wind power technology, doubly fed induction generators (DFIGs) have become the mainstream wind turbine configuration because of their cost-effectiveness, and their market penetration continues to increase [1]. However, the high penetration of wind power integration has introduced a series of grid stability challenges. Particularly notable is the sub-synchronous oscillation (SSO) phenomenon caused by the interaction between the DFIG shaft system, electrical components, and grid connection [2,3].
Practical engineering cases demonstrate that SSO can trigger large-scale wind farm disconnection incidents. For instance, in July 2015, a sub-/super-synchronous oscillation event occurred in Hami, Xinjiang, China, with active power oscillations varying between 27 Hz and 33 Hz [4]. Another notable case was the SSO incident at the UK’s Hornsea wind farm on 9 August 2019, characterized by an oscillation frequency of 8.4 Hz [5]. Current research efforts primarily focus on the impact of DFIG shaft parameters, grid impedance, and controller optimization on the grid-connected stability of wind power systems [6,7,8,9]. In conventional modeling approaches for DFIG grid-connected systems, the DC-link voltage is typically assumed to be an ideal DC source, neglecting the dynamics of the DC-link [10,11,12,13]. However, in the context of DFIG shaft dynamics, DC-link voltage fluctuations affect the power output of both the rotor-side converter (RSC) and grid-side converter (GSC), thereby influencing the electromagnetic torque of the DFIG unit. This torque imbalance disrupts mechanical torque equilibrium, leading to rotor speed instability. If such instability exceeds safety thresholds, it can cause mechanical damage to DFIG components [14].
In the stability analysis of grid-connected DFIG systems, the results presented in Ref. [15] demonstrate that when the RSC is simplified as a constant power load, its dynamic behavior can affect system impedance through the DC-link, while the RSC and GSC become coupled via the DC-link, thereby influencing the overall system impedance. The findings presented in Ref. [16] revealed that in large-scale wind farms, the DC-link voltages of DFIG units interact with each other, and DC-link dynamics and capacitance values play critical roles in small-signal modeling at the DC-link voltage control timescale (approximately 100 ms), significantly impacting both the small-signal modeling and stability analysis of the entire system. As shown in [17], the DC-link voltage control constitutes part of the outer-loop control in voltage-source converters. Neglecting this control element would compromise the accuracy of subsynchronous oscillation analysis in DFIG-connected hybrid AC/DC grids, while frequency coupling effects would further degrade grid synchronization stability. Additionally, the phase-locked loop (PLL) and active and reactive power control loops in voltage-source converters also contribute to DC-link dynamics [18,19,20]. In summary, DC-link dynamics affect both the shaft dynamics of DFIGs (through RSC and GSC interactions) and the system impedance, ultimately jeopardizing grid connection security. Therefore, comprehensive electromechanical-grid modeling of DFIGs must incorporate the dynamic interactions among the DC-link, shaft system, GSC, and RSC to accurately characterize DC-link dynamics.
To mitigate the impact of DC-link dynamics on both shaft dynamics and system impedance in DFIG systems, the authors of Ref. [21] proposed an improved GSC control strategy to suppress DC-link voltage fluctuations. The authors of Ref. [22] developed a voltage-source converter controller that utilizes DC capacitance dynamics to emulate synchronous machine rotor equations, enhancing system damping through regulation of damping and inertia coefficients to suppress voltage fluctuations under power disturbances. The authors of Ref. [23] eliminated the PLL in the voltage-source converter control strategy by integrating grid synchronization with active power regulation, generating virtual power angles through DC voltage squared terms while increasing capacitance to enhance inertial support capability and reduce fluctuations during frequency deviations. The authors of Ref. [24] implemented q-axis voltage feedback in voltage-source converters to provide active damping, avoiding synchronous oscillations induced by conventional power feedforward and thereby improving weak grid stability.
Compared with existing studies, the innovations of this study are mainly reflected in three aspects:
(1)
Unlike the authors of previous studies, who treated the DC-link as an ideal voltage source or solely focused on the voltage stability of the GSC [10,11,12,13,21,22,23,24], we explicitly establish a coupling path between the torque and the DC bus through shaft system derivation. The transfer function H vt ( s ) reveals how DC-link voltage fluctuations alter the electromagnetic torque, thereby affecting the electromagnetic damping torque coefficient D e , which directly determines the stability of shaft system oscillations.
(2)
Compared with traditional frequency-domain coupled impedance models, the model established in this study incorporates the dynamic characteristics of the DC-link [15,16,17], integrating the coupling effects of the RSC, GSC, and DC-link into a unified admittance term Y IVDC . This admittance term is connected in parallel with the independent admittances of the RSC and GSC to form a complete impedance model of the DFIG Y DFIG .
(3)
A DC-link dynamics suppression module is proposed to enhance the positive damping of the shaft system through phase modulation, which is verified via the Nyquist criterion and FFT analysis of the current at the point of common coupling.
The subsequent sections are organized as follows: In Section 2, we detail the development of the shaft model considering DC-link dynamics; in Section 3, we present the construction of the frequency-domain coupling analytical model incorporating DC-link dynamics; in Section 4, the effectiveness of the suppression strategy is analyzed and verified; in Section 5, we present the simulation validation; and in Section 6, we provide concluding remarks.

5. Simulation Verification

A 2 MW DFIG simulation model is established on the software-in-the-loop real-time simulation platform shown in Figure 12 (which includes a computer, an oscilloscope, and RT-LAB); the simulation time step is set to 1 µs. The system sampling time is 100 µs. In the simulation experiments, a step disturbance with an amplitude of 5% of the rated DC voltage (60 V) is superimposed on the DC bus voltage reference, and this identical disturbance is applied across all simulation experimental cases. Based on the DFIG wind power system parameters listed in Table 2 (grid inductance: 0.82 mH, rotor frequency: 0.8 pu), the results presented in Figure 13 demonstrate the impact of the DC-link dynamics suppression module on the DFIG rotor speed.
Figure 12. Real-time simulation platform.
Figure 13. Rotor speed waveforms under DC-link voltage fluctuations. Red—with the suppression module; green—without the suppression module.
As seen in Figure 13, with the DC-link dynamics suppression module activated, the rotor speed fluctuations of the DFIG are significantly reduced, and shaft oscillations diminish. These results align with the shaft stability analysis presented in Section 4.1.
At a rotor frequency of 0.8 pu, after the DFIG system with the suppression module reaches steady-state operation, the following waveforms at the grid connection point are captured and shown in Figure 14: the three-phase voltage at the grid connection point ( V ab , V bc , V ca ), three-phase currents ( I abc ), and DC-link voltage ( V dc ). The corresponding FFT analysis results are presented in Figure 15.
Figure 14. Grid-connected waveforms of the DFIG (with the suppression module).
Figure 15. FFT analysis of the three-phase currents at the grid connection point (with the suppression module).
The FFT analysis results presented in Figure 15 reveal minor harmonic components in the grid connection point current, signifying a stable state. This finding confirms that the DC dynamics suppression link effectively mitigates frequency coupling oscillations.
At a rotor frequency of 0.8 pu, the following waveforms at the grid connection point of the DFIG machine-side system under steady-state operation without the DC-link dynamics suppression module are shown in Figure 16. The corresponding FFT analysis results are presented in Figure 17.
Figure 16. Grid-connected waveforms of the DFIG (without the suppression module).
Figure 17. FFT analysis of the three-phase currents at the grid connection point (without the suppression module).
In Figure 17, the FFT analysis results of the three-phase currents at the grid connection point (without the suppression module) reveal distinct harmonic components at approximately 18/19 Hz and 82/83 Hz, alongside the fundamental 50 Hz component. These frequencies correspond to sub-synchronous and super-synchronous oscillations, which are symmetrically distributed around the fundamental frequency. The presence of these components leads to a high total harmonic distortion (THD) level (the value is 19.95% higher than the THD obtained with the suppression module), indicating severe distortion of the grid current. This distortion is a direct manifestation of the frequency-coupling effect induced by DC-link dynamics. The high THD confirms that the DFIG system without suppression is prone to oscillatory instability, which can compromise power quality and grid reliability. This phenomenon aligns with the generalized Nyquist criterion results presented in Figure 8. The encirclement of the critical point (−1, j0) confirms system instability at the 18/82 Hz band.
To demonstrate the effectiveness of the DC-link dynamics suppression module, the following observations can be made from Figure A2 (Appendix B): when the rotor frequency is 1.2 pu, the FFT analysis results show that after applying the DC dynamics suppression module, the harmonic component of the grid-connected current increases by 1.53% compared to the case at a rotor frequency of 0.8 pu. However, the system remains stable, which is consistent with the Nyquist analysis results presented in Figure 11. Furthermore, as shown in Figure A4 (Appendix B), at a rotor frequency of 0.8 pu and a grid inductance of 1.64 mH, the FFT analysis results indicate that after applying the suppression module, the harmonic component of the grid-connected current increases by 3.79% compared to the case at a rotor frequency of 0.8 pu, and the system still maintains satisfactory stability.
When the PLL control parameter is reduced to 0.5 times its nominal value (bandwidth: 21 Hz), the Nyquist curve in Figure A5 does not encircle the (−1, j0) point. The system achieves a GM of 10.5 dB and a PM of 45 ∘ , both of which are improved over the nominal condition, confirming that the small-signal stability requirements are satisfied. Under the same parameter setting, Figure A7 shows that the harmonic content of the grid-connected current is 5.89%, indicating stable system operation.
Conversely, when the parameter is increased to 2 times the nominal value (bandwidth: 82 Hz), the Nyquist curve in Figure A5 encircles the (−1, j0) point, with a unit-circle crossing at 23/77 Hz. The GM drops to − 3.5 dB and the PM to − 35 ∘ , which may induce system oscillations. Furthermore, the harmonic content rises to 10.12% (an increase of 7.87% relative to the nominal condition), and the FFT analysis in Figure A9 detects the 23/77 Hz component. Therefore, increasing the PLL control bandwidth adversely affects the grid-connected operation of the DFIG.

6. Conclusions

Based on our investigation into the mechanisms of shaft oscillation and grid-connected frequency coupling in DFIGs under DC-link dynamics, we draw the following conclusions:
(1)
DC-link voltage fluctuations affect electromagnetic torque through interactions between the RSC and GSC, altering shaft dynamic characteristics. Simultaneously, they compromise system stability by propagating through control loops to the grid-connected system.
(2)
The DC-link dynamics suppression module proposed in this paper can significantly enhance electrical positive damping in MPPT mode. By optimizing the phase relationship of the electromagnetic torque response, this module effectively mitigates speed fluctuations and improves shaft stability. However, in constant power mode, its stabilizing effect is limited and may even introduce negative damping.
(3)
Frequency-domain modeling and the generalized Nyquist criterion demonstrate that the suppression module reduces the negative damping region of grid impedance, avoids encirclement of the critical point (−1, j0) in Nyquist plots, eliminates sub/super-synchronous oscillations (e.g., 18/82 Hz), and enhances grid connection robustness. Simulation results validate model accuracy and confirm the engineering applicability of the proposed suppression strategy.

Author Contributions

Methodology, Y.L.; validation, Z.W. and Y.L.; investigation, Z.W.; data curation, Z.W.; writing—original draft, Z.W.; writing—review and editing, Z.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Based on the small-signal modeling approach [11,12], the frequency-domain expressions for the voltage and current of the DFIG’s GSC are given as follows:
V ga [ f ] = V g 1 / 2 , f = f 1 V gp 1 [ f ] , f = f p V gp 2 [ f ] , f = f p − 2 f 1
I ga [ f ] = I g 1 / 2 , f = f 1 I gp 1 [ f ] , f = f p I gp 2 [ f ] , f = f p − 2 f 1
where V gp 1 [ f ] = V gp 1 e ± j φ vp / 2 , and other components can be derived analogously.
Applying the Park transformation to (A1) and (A2), the frequency-domain expression of the PLL is obtained through the harmonic linearization method:
cos θ PLL [ f ] = 1 , f = f 1 ± 1 / 2 G ( s ) V p 1 f − G ( s ) V p 2 f , f = f p ∓ 1 / 2 G ( s ) V p 1 f − G ( s ) V p 2 f , f = f p − 2 f 1
where
G ( s ) = H PLL ( s ) 1 + V 1 H PLL ( s )
H PLL ( s ) = k pPLL + k iPLL / s s
Based on the frequency-domain expression of the grid-side PLL in the DFIG, the current expressions in the dq-frame for the GSC can be derived as follows:
I gd [ f ] = I g 1 cos φ g 1 f = dc I gp 1 f + I gp 2 f + I g 1 sin φ g 1 − j G ( s ) V p 1 f + j G ( s ) V p 2 f f = f p − f 1 I gq [ f ] = I g 1 sin φ g 1 f = dc − j I gp 1 f + j I gp 2 f + I g 1 cos φ g 1 j G ( s ) V p 1 f − j G ( s ) V p 2 f f = f p − f 1
By performing a frequency transformation on the DFIG voltage and flux equations in the dq-frame, the rotor voltage expressions at frequencies f p and f p − 2 f 1 are, respectively, given as follows:
V sp 1 f = − R s I sp 1 f − s L s I sp 1 f − s L m I rp 1 f
V rp 1 f σ p s = − R r I rp 1 f σ p s − s L r I rp 1 f − s L m I sp 1 f
V sp 2 f = − R s I sp 2 f − ( s − j 2 ω 1 ) L s I sp 2 f − ( s − j 2 ω 1 ) L m I rp 2 f
V rp 2 f σ p 2 s = − R r I rp 2 f σ p 2 s − ( s − j 2 ω 1 ) L r I rp 2 f − ( s − j 2 ω 1 ) L m I sp 2 f
where
σ p ( s ) = s − j 2 π f r s σ p 2 ( s ) = s − j 2 ω 1 + j 2 π f r s − j 2 ω 1
(A12)–(A17) present the frequency-coupled impedance analytical model for the DFIG’s RSC and GSC when DC-link dynamics are neglected:
E 11 E 12 E 21 E 22 = − R r σ p ( s ) K e + s L r K e − K rm V dcref K e 2 σ p H rd ( s ) + H rq ( s ) − j K rd − j K rq − K rm V dcref K e 2 σ p H rd ( s ) − H rq ( s ) + j K rd − j K rq − K rm V dcref K e 2 σ p 2 s H rd ( s ) − H rq ( s ) + j K rd − j K rq − R r σ p 2 s K e − ( s − j 2 ω 1 ) L r K e − K rm V dcref K e 2 σ p 2 s H rd ( s ) + H rq ( s ) + j K rd − j K rq
F 11 F 12 F 21 F 22 = − K rm V dcref K e 2 σ p G ( s ) H rd ( s ) / 2 + H rq ( s ) / 2 − j K rd / 2 − j K rq / 2 I r 1 − H rd ( s ) / 2 − H rq ( s ) / 2 I r 1 * + M rsc 1 K rm V dcref K e 2 σ p G ( s ) H rd ( s ) / 2 + H rq ( s ) / 2 − j K rd / 2 − j K rq / 2 I r 1 − H rd ( s ) / 2 − H rq ( s ) / 2 I r 1 * + M rsc 1 K rm V dcref K e 2 σ p 2 ( s ) G ( s ) H rd ( s ) / 2 + H rq ( s ) / 2 + j K rd / 2 + j K rq / 2 I r 1 * − H rd ( s ) / 2 − H rq ( s ) / 2 I r 1 + M rsc 1 * − K rm V dcref K e 2 σ p 2 ( s ) G ( s ) H rd ( s ) / 2 + H rq ( s ) / 2 + j K rd / 2 + j K rq / 2 I r 1 * − H rd ( s ) / 2 − H rq ( s ) / 2 I r 1 + M rsc 1 *
Y rsc ( s ) = I − L m K e s 0 0 s − j 2 ω 1 [ E ( s ) ] − 1 [ F ( s ) ] R s + s L s 0 0 R s + s − j 2 ω 1 L s − L m K e s 0 0 s − j 2 ω 1 [ E ( s ) ] − 1 s L m 0 0 ( s − j 2 ω 1 ) L m − 1
Y gsc [ s ] = Y gsc 11 Y gsc 12 Y gsc 21 Y gsc 22 = 1 − 1 / 2 K gm V dcref G s − j ω 1 H g 1 ( s ) − 1 / 2 j K gd − 1 / 2 j K gq I g 1 − H g 2 ( s ) I g 1 * + M g 1 K gm V dcref H g 1 ( s ) − 1 / 2 j K gd − 1 / 2 j K gq + s L g 1 / 2 K gm V dcref G s − j ω 1 H g 1 ( s ) + 1 / 2 j K gd + 1 / 2 j K gq I g 1 − H g 2 ( s ) I g 1 * + M g 1 K gm V dcref H g 1 ( s ) − 1 / 2 j K gd − 1 / 2 j K gq + s L g 1 / 2 K gm V dcref G s − j ω 1 H g 1 ( s ) + + 1 / 2 j K gd + 1 / 2 j K gq I g 1 * − H g 2 ( s ) I g 1 + M g 1 * K gm V dcref H g 1 ( s ) + 1 / 2 j K gd + 1 / 2 j K gq + s − j 2 ω 1 L g 1 − 1 / 2 K gm V dcref G s − j ω 1 H g 1 ( s ) + 1 / 2 j K gd + 1 / 2 j K gq I g 1 * − H g 2 ( s ) I g 1 + M g 1 * K gm V dcref H g 1 ( s ) + 1 / 2 j K gd + 1 / 2 j K gq + s − j 2 ω 1 L g
H g 1 ( s ) = H gd ( s ) + H gq ( s ) 2
H g 2 ( s ) = H gd ( s ) − H gq ( s ) 2
H PV 2 ( s ) = 3 / 2 I g 1 * + D ; I g 1 + C
H PI gsc ( s ) = 3 / 2 − V 1 − s L f I g 1 * − V 1 − s L f I g 1 T
H PI rsc ( s ) = 3 2 s + j ω 1 − j ω r L m I r 1 * / K e − R s + s + j ω 1 L s D 3 2 s − j ω 1 + j ω r L m I r 1 / K e − R s + s − j ω 1 L s C T
To simplify Equation (A18) and Equation (A20), C and D are given as follows:
C = V r 1 · K e + R r + s − j ω 1 + j ω r L r · I r 1 / K e s − j ω 1 L m
D = V r 1 * · K e + R r + s + j ω 1 − j ω r L r · I r 1 * / K e s + j ω 1 L m

Appendix B

At a rotor frequency of 1.2 pu, after the DFIG system with the suppression module reaches steady-state operation, the waveforms at the grid connection point shown in Figure A1 are captured (the three-phase voltage at the grid connection point ( V ab , V bc , V ca ), three-phase currents ( I abc ), and DC-link voltage ( V dc )). The corresponding FFT analysis results are presented in Figure A2.
At a rotor frequency of 0.8 pu (grid inductance: 1.64 mH), after the DFIG system with the suppression module reaches steady-state operation, the following waveforms at the grid connection point are captured, as shown in Figure A3: the three-phase voltage at the grid connection point ( V ab , V bc , V ca ), three-phase currents ( I abc ), and DC-link voltage ( V dc ). The corresponding FFT analysis results are presented in Figure A4.
Figure A1. Grid-connected waveforms of the DFIG (with the suppression module, rotor frequency is 1.2 pu).
Figure A2. FFT analysis of the three-phase currents at the grid connection point (with the suppression module, rotor frequency is 1.2 pu).
Using the PLL control parameters in Table 2, adjusting [ kpPLL kiPLL ] to 0.5 and 2 times their original values changes the corresponding PLL control bandwidth to 21 Hz and 82 Hz from 40 Hz. Keeping the rotor frequency at 0.8 pu and the remaining parameters unchanged, the Nyquist analysis with the DC-link suppression module included is presented in Figure A5.
Figure A3. Grid-connected waveforms of the DFIG (with the suppression module, grid inductance: 1.64 mH).
Figure A4. FFT analysis of the three-phase currents at the grid connection point (with the suppression module, grid inductance: 1.64 mH).
Figure A5. Nyquist plot of the DFIG considering the PLL parameters (with the suppression module).
At a rotor frequency of 0.8 pu ( [ kpPLL kiPLL ] × 0.5 ), after the DFIG system with the suppression module reaches steady-state operation, the following waveforms at the grid connection point are captured and shown in Figure A6: the three-phase voltage at the grid connection point ( V ab , V bc , V ca ), three-phase currents ( I abc ), and DC-link voltage ( V dc ). The corresponding FFT analysis results are presented in Figure A7.
Figure A6. Grid-connected waveforms of the DFIG under [ kpPLL kiPLL ] × 0.5 (with the suppression module).
Figure A7. FFT analysis of the three-phase currents at the grid connection point (with the suppression module, [ kpPLL kiPLL ] × 0.5 ).
At a rotor frequency of 0.8 pu ( [ kpPLL , kiPLL ] × 2 ), after the DFIG system with the suppression module reaches steady-state operation, the following waveforms at the grid connection point are captured and shown in Figure A8: the three-phase voltage at the grid connection point ( V ab , V bc , V ca ), three-phase currents ( I abc ), and DC-link voltage ( V dc ). The corresponding FFT analysis results are presented in Figure A9.
Figure A8. Grid-connected waveforms of the DFIG under [ kpPLL kiPLL ] × 2 (with the suppression module).
Figure A9. FFT analysis of the three-phase currents at the grid connection point (with the suppression module, [ kpPLL kiPLL ] × 2 ).

Appendix C

With a sampling time of T s = 100 µs, the DC-link suppression module in this paper is discretized using the bilinear transformation. The transformation formula is given by the following:
s = 2 T s z − 1 z + 1 = 20000 z − 1 z + 1
This yields the zero-pole form:
H gdc ( z ) = − 1.6 ( z − 1 ) ( z − 1.0002 ) ( z − 0.999755 ) ( z − 0.99999 )
From Equation (A24), the discrete-domain poles are 0.999755 and 0.999990 . Since both lie within the unit circle, the controller itself is asymptotically stable. The discrete-domain zeros are 1.000245 and 1. The zero at 1.000245 is located in the right half-plane (RHP), introducing a non-minimum phase characteristic. However, since the controller bandwidth is primarily in the low-frequency range, this characteristic will not affect the high-frequency dynamic performance. The zero at 1 is introduced to achieve DC blocking, ensuring that the suppression module does not compromise the steady-state regulation accuracy of the DC-link voltage.
In summary, the condition T gdc 1 < 0 introduces an RHP zero. This phenomenon is acceptable and does not compromise system stability. The compensator is causal and stable and can be readily implemented in the discrete-time domain.

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