Design and manufacture of small-scale wind turbine simulator to emulate torque response of MW wind turbine

Lim, Chae-Wook

doi:10.1007/s40684-017-0046-6

Cited by 23 publications

(5 citation statements)

References 14 publications

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“…Table 2 shows the parameters for PTS and PCS mechanism design included in the WPS. These values were selected considering the small-scale WPS (Lim, 2017). The length of the crank with the rod was calculated to allow the crank to rotate in a circle according to the displacement of the blade.…”

Section: Integrated Simulation Using Modelicamentioning

confidence: 99%

Analysis of Lift-Generating Disk Type Blade Wind Power System Using Modelica

Yoo

Lee

Yoon

et al. 2019

Linköping Electronic Conference Proceedings

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The research and application technology of wind power generation have attracted great attention in relation to the development of renewable energy. As wind power systems such as a propeller type are being enlarged to increase power output, various problems such as natural landscaping damage and shadow problems are occurring. In this paper, we propose a lift-generating disk type blade power generation mechanism that can effectively generate wind power even with simple structure considering the problems of existing system. The modeling method of the wind power system is explained using the Modelica. After that, a wind tunnel test is conducted through a small scale model of the disk type blade created for simulation verification. As a result, the modeling of the wind power system is verified and the results of the generator power output are presented through simulation.

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Section: Integrated Simulation Using Modelicamentioning

confidence: 99%

Analysis of Lift-Generating Disk Type Blade Wind Power System Using Modelica

Yoo

Lee

Yoon

et al. 2019

Linköping Electronic Conference Proceedings

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“…Gear transmission is widely used in many power transmission systems because of its advantages. During the past century, extensive research studies on gear design (Kang and Lee, 2017), manufacturing (Lim, 2017), installation (Kim et al, 2016), analysis (Li et al, 2019), and diagnosis (Merainani et al, 2017) have been carried out. Despite the abundant studies, gear is still one of the highest failure rate parts in practical application.…”

Section: Introductionmentioning

confidence: 99%

Effects of random interval parameters on spur gear vibration

Jian

Zhang

2020

Journal of Vibration and Control

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Gear driving devices are commonly used in mechanical transmission systems. Due to the inevitable random errors in manufacturing, installation, and operation, the dynamics of a gear transmission system will fluctuate randomly. To reveal the dynamic characteristics, an interval parameters dynamic model of a single-stage spur gear pair is established, in which the uncertainties of displacement excitation, load excitation, and stiffness excitation are included, and their formulations are derived in detail by using interval mathematics. The established interval parameters dynamic model is solved by combining the Chebyshev inclusion function method and the Runge–Kutta method. Finally, the influence of the random interval parameters of meshing stiffness, input torque, and transmission error as well as backlash on the vibration velocity interval and transmission reliability of the gear transmission system are studied. The analysis results show that the three types of excitations have different effects on the dynamic characteristics. To be specific, the effects of uncertain parameters on the dynamic characteristics can be ordered as meshing stiffness, input torque, backlash, and transmission error in sequence from the strongest to the weakest. The present study may serve as a sound theoretical basis and can provide references for the design and vibration control of spur gear transmission systems.

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“…In region 2, the control strategy is to maximize the wind turbine power, and this is achieved by an open-loop torque control with a fixed pitch angle (known as fine pitch) to maximize the power coefficient which is the aerodynamic conversion efficiency of the rotor. Either a generator torque-speed lookup table or an optimal mode gain (optimal relationship between generator speed and torque) is used for this [13,14]. The power control in region 2.5 is an extension of the power control in region 2, and the control strategy just performs a smooth transition from region 2 to region 3.…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of an LQR-PI Control Algorithm for Medium Wind Turbine

Kim

Song

et al. 2019

Energies

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In this paper, a new linear quadratic regulator (LQR) and proportional integral (PI) hybrid control algorithm for a permanent-magnet synchronous-generator (PMSG) horizontal-axis wind turbine was developed and simulated. The new algorithm incorporates LQR control into existing PI control structures as a feed-forward term to improve the performance of a conventional PI control. A numerical model based on MATLAB/Simulink and a commercial aero-elastic code were constructed for the target wind turbine, and the new control technique was applied to the numerical model to verify the effect through simulation. For the simulation, the performance data were compared after applying the PI, LQR, and LQR-PI control algorithms to the same wind speed conditions with and without noise in the generator speed. Also, the simulations were performed in both the transition region and the rated power region. The LQR-PI algorithm was found to reduce the standard deviation of the generator speed by more than 20% in all cases regardless of the noise compared with the PI algorithm. As a result, the proposed LQR-PI control increased the stability of the wind turbine in comparison with the conventional PI control.

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Design and manufacture of small-scale wind turbine simulator to emulate torque response of MW wind turbine

Cited by 23 publications

References 14 publications

Analysis of Lift-Generating Disk Type Blade Wind Power System Using Modelica

Analysis of Lift-Generating Disk Type Blade Wind Power System Using Modelica

Effects of random interval parameters on spur gear vibration

Design and Simulation of an LQR-PI Control Algorithm for Medium Wind Turbine

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