Dynamic characteristics of electromechanical coupling of wind turbine drive system under multi‐source excitation

Abstract

With the rapid development of wind turbine, the operational reliability of the main drive systems of wind turbine has received extensive attention. The wind turbine drive system is affected not only by random wind loads for a long time but also by the electromagnetic torque of the generator. Exploring the coupling behavior and mechanism is particularly important for optimizing the design of the drive system and improving the operational reliability of the main drive system. This study establishes a mechanical–electrical coupling model, which includes a translational–torsional dynamic model of a gear transmission system that can be used for variable speed and variable‐load conditions, a finite element model of the generator, and voltage vector control. This model takes into account nonlinear factors such as the time‐varying meshing stiffness of the gear system and the magnetic characteristics of the generator. The speed sweep analysis method was used to identify the resonance speed and dangerous components of the system. Under different external excitation conditions, the dynamic characteristics of the system were compared with and without considering electromagnetic characteristics. The generator speed of 1030 r/min and 651 r/min is the potential resonance speed of the system. The gear system and generator system have strong coupling characteristics. In the vibration signal of the gear system, there will be electrical system frequency components dominated by 6kfe and (h − 1)fe. In the current signal, not only appeared the excitation frequency in the gear system, but also the modulation signal with the excitation frequency in the gear system as the carrier frequency and the electric frequency as the fundamental frequency ((6k ± 1) ⋅ fe ± n ⋅fm) appeared. Under the gust wind, the transient response of the system will excite the gear‐generator coupling vibration mode. The electromagnetic characteristic of generator can suppress the vibration of mechanical system.

Torsional vibration characteristics analysis and adaptive fixed-time control of wind turbine drivetrain

“…In order to overcome the structural complexity of the uncertainties and disturbances, the above-proposed adaptive update law is utilized to estimate the upper bounds of the system lumped uncertainty in Eq. (22). It is worth mentioning that the adaptive law can not only make the tracking error converge to zero rapidly, but also obtain a better rate of convergence for the estimated parameters 0 â ， 1 â and 2 â .Furthermore, as for the upper bound of the system uncertainty, the prior knowledge of the adaptive tuning law does not require.…”

“…Zhang et al [21] established a coupled electromechanical dynamic model of wind turbine drivetrain, explored the effect of the drivetrain system parameters on the current harmonics and dynamic response. Chen and Qin et al [22] continued to establish a mechanical-electrical coupling nonlinear dynamic model of the main drive system in wind turbine, and further revealed the influence of magnetic saturation coefficient and external variable-load excitation change on the dynamic characteristics of the transmission system. Form the above mentioned researches, torsional vibration characteristics and the electromechanical coupling effect have been comprehensively investigated and discussed in wind turbine.…”

Failure analysis of wind turbine drive system

“…In recent years, China has continuously strengthened technological innovation in the field of renewable energy, and wind power has entered a period of rapid development, becoming one of the main power sources [5] . As can be seen from Figure 2, China's newly installed wind power capacity is in a leading position in the world.…”

Dynamic behavior analysis method for the normal and faulty drivetrain of wind turbine under multi‐working conditions

“…Rezamand et al 23 employed the kernel fuzzy C ‐means to categorize different operating conditions and analyzed the dynamics of wind turbine drivetrain bearings to predict the remaining useful life of faulty bearings. Chen et al 24 established a mechanical–electrical coupling model of wind turbine drivetrain with variable speed and load, and revealed the relationship between dynamic characteristics and electromagnetic characteristics under different operating conditions. Tian et al 25 analyzed the vibration time–frequency characteristics under different wear severity and torque conditions, and verified it by experiments.…”