Abstract
Wind energy has become one of the most cost-effective and environmental friendly renewable energy resources among all exploited renewable energy. However, the failure of gearbox contributes most of the downtime for wind turbine system. Dynamic properties of drivetrain, including gearbox should be investigated in detail further. In present paper, a mathematical model for a horizontal axis wind turbine drivetrain was developed using the torsional multibody dynamic model. The drivetrain in this study consisted of a low-speed planetary gear stage (three identical planets with spur teeth, sun and fixed ring gears) and two high-speed spur gear stages. This typical arrangement has been commonly used in the wind turbine industry. Based on this model, this paper aims to investigate the influence of drivetrain parameters on the dynamic response of the wind turbine. The dynamic responses of the turbine with different rotor inertia and generator inertia are compared. Then the difference due to changing of the shaft stiffness is also investigated during and after the transient condition. This parametric study shows that lower rotor inertia and generator inertia could lead to more oscillations.
Highlights
The growing awareness of the threat of climate change caused by greenhouse gas has brought wind energy to the top of the global consensus, and wind energy has become the most cost-effective of all currently exploited renewable energy resources and has attracted extensive research and business interest [1,2]
Equations of motion were solved using the direct integration method to obtain the transient response of the wind turbine drivetrain
Effects of Rotor and Generator Inertia Parameters To investigate the effects of the drivetrain parameters, seven cases are analyzed with the proposed multibody dynamic model
Summary
The growing awareness of the threat of climate change caused by greenhouse gas has brought wind energy to the top of the global consensus, and wind energy has become the most cost-effective of all currently exploited renewable energy resources and has attracted extensive research and business interest [1,2]. Besides the industrial application success, extensive research is carried out outside of the commercial companies [3,4,5,6]. Various studies have addressed the dynamic modeling of wind turbines [8]. Few studies have focused on the advanced dynamic modeling of drivetrain [9,10,11,12,13]
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