Optimized strategy for DFIG wind farm considering turbine fatigue

Rong, Fei; Xu, Xiaoyue; Zhou, Shijia; Huang, Ying; Yang, Guangyuan

doi:10.1016/j.ijepes.2020.106313

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…The wind turbine blade serves as a critical constituent of wind power generation systems and undergoes dynamic loads induced by the consistently changing flow during operation. Uneven force distribution on both the blade and transmission system may lead to blade deformation and severe structural vibration 11,12 . Due to the high turbulence intensity and significant variations in wind speed, the distribution of flow fields on wind turbine blades is exceedingly complicated and difficult to optimize 13 , and its aeroelasticity should not be overlooked 14,15 .…”

Section: Improved Actuator Surface Modelmentioning

confidence: 99%

See 1 more Smart Citation

Fluid-solid Interaction Analysis of Wind Turbine Based on the Improved Actuator Surface Model

Wang,

Lou,

Liu

et al. 2023

Preprint

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Enhancing accuracy and efficiency of fluid-solid interaction solution is crucial as the wind turbine increases in size and output power. An improved actuator surface model is developed based on the three-dimensional plate-element method, the blade tip loss and three-dimensional rotation effects are comprehensively modified and the shear flow and tower shadow effects are further explored. Results show that the improved actuator surface model has advantages in both precision and efficiency for predicting aerodynamic responses. The stress distribution on the pressure and suction faces of the blade is equivalent, and the primary areas of stress concentration are nearly in the middle span. Blade deformation increases with the incoming wind speed, and the maximum deformation occurs at the blade tip.Shear flow effectively decreases the load on wind turbines, which results in lower average thrust and power output, as well as the blade tip displacement and maximum strain. Surface pressure coefficients on wind turbine models with/without a tower are different greatly on the leading edge of suction face. The closer to the blade root, the greater the difference in pressure distribution, the stronger the interference effect, and the greater the impact of the tower shadow effect on the blade's aerodynamic load.

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Section: Improved Actuator Surface Modelmentioning

confidence: 99%

“…1.084 0.157 − = c k r (11) Eq. (11) shows that the rotation of the wind turbine blade will lead to hysteresis effect, and the three-dimensional delayed stall correction is (Eq. 12): max / 1 0.1267…”

Section: Development Of the Iasmmentioning

confidence: 99%

Fluid-solid Interaction Analysis of Wind Turbine Based on the Improved Actuator Surface Model

Wang,

Lou,

Liu

et al. 2023

Preprint

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show abstract

“…Scott et al [39] used experimental setup to measure the impact of partial wake on the downwind turbines, whereas Howland et al [40] provided partial wake statistics for a typical wind farm and showed the means, to a certain degree, to use the mechanical controls of turbines to avoid partial wake coverage (wake steering, see [21]). The physical aspects of fatigue load and the appropriate countermeasures have been vividly discussed in the literature recently, e.g., by Sajeer et al [41], Rong et al [42], and Huo and Huo and Tong [43]. The groundwork has been analyzed and presented in detail by Burton et al [44].…”

Section: Wake Asymmetric Thrust Loadmentioning

confidence: 99%

Advances in Wind Farm Layout Optimization: Wind Direction Robustness and Wake Induced Asymmetric Thrust Load

Croonenbroeck¹,

Hennecke²

2021

JEPT

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In this study, we address the wind farm layout optimization (WFLO) problem and tackle the issue of optimal turbine placement by incorporating additional aspects of an economically driven target function. Firstly, we have analyzed the effect of wind direction on a given turbine arrangement. Based on the direction-dependent wake pattern, practitioners sometimes shut down certain turbines on their farms. Our method computes which turbines should be shut down in which wake situation. On this basis, we have developed a method of finding new turbine setups that rarely require shutdowns and are, in a certain sense, “robust” against changes to the wind direction. Secondly, we have presented a partial coverage Jensen wake model in three-dimensional space and have provided the tools for reducing or avoiding wake-induced asymmetric thrust on the rotor disc of the turbine, which leads to reduced energy yield and accelerated wear. This aspect can also be used for finding new turbine setups that take partial coverage into account and avoid it if necessary. Overall, the application of the refinements suggested in this study will result in an increased yearly profit achieved from the produced energy in a wind farm. This is an aspect that decision-makers, such as farm planners/operators, might depend on in a market that typically possesses narrow profit margins. Our methods find entrance into the open-source research framework that comes as the package wflo for the statistical software R.

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Decentralised optimisation for large offshore wind farms using a sparsified wake directed graph

2022

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Optimized strategy for DFIG wind farm considering turbine fatigue

Cited by 7 publications

References 24 publications

Fluid-solid Interaction Analysis of Wind Turbine Based on the Improved Actuator Surface Model

Fluid-solid Interaction Analysis of Wind Turbine Based on the Improved Actuator Surface Model

Advances in Wind Farm Layout Optimization: Wind Direction Robustness and Wake Induced Asymmetric Thrust Load

Decentralised optimisation for large offshore wind farms using a sparsified wake directed graph

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