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Wind profile power law

About: Wind profile power law is a research topic. Over the lifetime, 7312 publications have been published within this topic receiving 163770 citations. The topic is also known as: power law for wind shear.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the effects of atmospheric stability and surface roughness on wind turbine dynamics have been studied, and the authors used large-eddy simulation to create atmospheric winds and compute the wind turbine flows, and modeled the wind turbines as revolving and flexible actuator lines coupled to a wind turbine structural and system dynamic model.
Abstract: Although the atmospheric sciences community has been studying the effects of atmospheric stability and surface roughness on the planetary boundary layer for some time, their effects on wind turbine dynamics have not been well studied. In this study, we performed numerical experiments to explore some of the effects of atmospheric stability and surface roughness on wind turbine dynamics. We used large-eddy simulation to create atmospheric winds and compute the wind turbine flows, and we modeled the wind turbines as revolving and flexible actuator lines coupled to a wind turbine structural and system dynamic model. We examined the structural moments about the wind turbine blade, low-speed shaft, and nacelle; power production; and wake evolution when large 5-MW turbines are subjected to winds generated from low- and high-surface roughness levels representative of offshore and onshore conditions, respectively, and also neutral and unstable atmospheric conditions. In addition, we placed a second turbine 7 rotor...

511 citations

Journal ArticleDOI
TL;DR: A fuzzy model is suggested for the prediction of wind speed and the produced electrical power at a wind park using a genetic algorithm-based learning scheme, and achieves an adequate understanding of the problem.
Abstract: In this paper, a fuzzy model is suggested for the prediction of wind speed and the produced electrical power at a wind park. The model is trained using a genetic algorithm-based learning scheme. The training set includes wind speed and direction data, measured at neighboring sites up to 30 km away from the wind turbine clusters. Extensive simulation results are shown for two application cases, providing wind speed forecasts from 30 min to 2 h ahead. It is demonstrated that the suggested model achieves an adequate understanding of the problem while it exhibits significant improvement compared to the persistent method.

509 citations

Journal ArticleDOI
TL;DR: In this article, a tuning-free Lagrangian scale-dependent dynamic model is used to model the dynamics of subgrid-scale turbulent fluxes and turbine-induced forces.

466 citations

Journal ArticleDOI
TL;DR: In this paper, a generalized predictive control strategy based on average wind speed and standard deviation of wind speed was proposed to control the pitch angle of the blades of a wind turbine generator.
Abstract: Wind energy is not constant and windmill output is proportional to the cube of wind speed, which causes the generated power of wind turbine generators (WTGs) to fluctuate. In order to reduce fluctuation, different methods are available to control the pitch angle of blades of windmill. In a previous work, we proposed the pitch angle control using minimum variance control, and output power leveling was achieved. However, it is a controlled output power for only rated wind speed region. This paper presents a control strategy based on average wind speed and standard deviation of wind speed and pitch angle control using a generalized predictive control in all operating regions for a WTG. The simulation results by using actual detailed model for wind power system show the effectiveness of the proposed method.

446 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202357
2022142
202168
202088
201983
2018102