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Abstract To address the multi-scale dynamic coupling challenges in 15 MW wind turbines, this paper establishes a full-dimensional aerodynamic-mechanical-electrical co-simulation platform integrating OpenFAST, Simpack, and Simulink. A dynamic data-exchange interface and a multi-rate cross-domain co-simulation strategy are proposed to overcome severe numerical stiffness. Based on this platform, the transient electromagnetic torque variations induced by Low Voltage Ride-Through (LVRT) and their impact on drivetrain fatigue are investigated, with a specific focus on the dynamic meshing forces within the gearbox. Preliminary results reveal a strictly phase-dependent nonlinear coupling mechanism: when the grid dip coincides with the falling edge of a wind gust, high-frequency electrical transients constructively interfere with mechanical torsional vibrations, amplifying extreme gearbox loads; conversely, when coinciding with the rising edge of a gust, a destructive interference occurs, where the sustained aerodynamic torque acts as a physical buffer that effectively mitigates the transient mechanical shocks. This study provides a necessary theoretical baseline for subsequent gearbox reliability design and anti-fatigue control under complex multi-source excitations. Key words: 15 MW Wind Turbine, Multi-body dynamics, Co-simulation, Electromechanical coupling dynamics
References [1] Yang, S., Zhu, C., Li, C., Zhou, Y., Tan, J., & Liao, B. (2025). Physics-data hybrid dynamic analysis of novel integrated wind turbine drivetrain. International Journal of Mechanical Sciences, 302, 110564. [2] Nejad, A. R., Keller, J., Guo, Y., Sheng, S., Polinder, H., Watson, S., ... & Bergman, J. (2022). Wind turbine drivetrains: state-of-the-art technologies and future development trends. Wind Energy Science, 7(1), 387-398. [3] Chen, R., Qin, D., Yi, Y., Liu, C., & Shi, J. (2022). Dynamic characteristics of electromechanical coupling of wind turbine drive system under multi-source excitation. Wind Energy, 25(3), 391-418. [4] Yang, J., Zhou, F., Xiong, J., Hou, Z., Zhang, J., & Mu, A. (2023). Torsional vibration characteristics analysis and adaptive fixed-time control of wind turbine drivetrain. Energy Science & Engineering, 11(12), 4666-4686. [5] Guang, C., Xiangwu, Y., Shurui, Z., Haoyang, R., Jiaoxin, J., & Fan, Z. (2026). Dynamic active torque coordination strategy for torsional vibration suppression in wind turbines during grid fault recovery. International Journal of Electrical Power & Energy Systems, 175, 111590. [6] Roeder, J., Jacobs, G., Duda, T., Bosse, D., & Herzog, F. (2021). Investigation of dynamic loads in wind turbine drive trains due to grid and power converter faults. Energies, 14(24), 8542. [7] Fateh, F., White, W. N., & Gruenbacher, D. (2017). Torsional vibrations mitigation in the drivetrain of DFIG-based grid-connected wind turbine. IEEE Transactions on Industry Applications, 53(6), 5760-5767. [8] Haidar, A. M. A., Muttaqi, K. M., & Hagh, M. T. (2017). A coordinated control approach for DC link and rotor crowbars to improve fault ride-through of DFIG-based wind turbine. IEEE Transactions on Industry Applications, 53(4), 4073-4086.[9] Rahimi, M., & Parniani, M. (2010). Grid-fault ride-through analysis and control of wind turbines with doubly fed induction generators. Electric Power Systems Research, 80(2), 184-195. [10] Girsang, I. P., Dhupia, J. S., Muljadi, E., Singh, M., & Pao, L. Y. (2014). Gearbox and Drivetrain Models to Study Dynamic Effects of Modern Wind Turbines. IEEE Transactions on Industry Applications, 50(6), 3777-3786. [11] Du, J., Hou, H. C., & Wang, Z. (2013). Simulation Analysis of Gear Box of Wind Turbine Based on Flexible Multi-body Dynamics. Metalurgia International, 18(3), 116-121. [12] Wang, C. S., & Chiang, M. H. (2016). A Novel Dynamic Co-Simulation Analysis for Overall Closed Loop Operation Control of a Large Wind Turbine. Energies, 9(8). [13] Chiang, M. H., Wang, C. S., Tung, T. C., et al. (2015). Development of Co-simulation and Analysis by Combination of Aerodynamics, Mechanism Dynamics and Control System Dynamics for Large Wind Turbines. Proceedings of the AASRI International Conference on Industrial Electronics and Applications, 2, 348-351.
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