OPTIMAL YAW CONTROL OF A WIND FARM BASED ON COMPUTATIONAL FLUID DYNAMICS

T. Kim; J. Song; D. You

doi:10.6112/kscfe.2024.29.2.074

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2024 Vol.29, Issue 2 Preview Page Next Page

Original Article

OPTIMAL YAW CONTROL OF A WIND FARM BASED ON COMPUTATIONAL FLUID DYNAMICS 전산유체역학 해석을 기반으로 한 풍력단지의 최적 요 제어

30 June 2024. pp. 74-84

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Abstract

Energy production can be increased by active yaw control of wind turbines. Active yaw control can deflect the wake region of an upstream wind turbine, increasing the mean wind speed passing through a downstream wind turbine. Conventional optimization of active yaw control maximizes the power generation based on a yawed wake model. However, a yawed wake model cannot predict the blockage effect of a wind farm and the spanwise velocity in the deflected wake region. In the present study, optimal yaw control based on a yawed wake model is shown to be suboptimal in a real-world wind farm by Reynolds-averaged Navier-Stokes simulations. Considering both the streamwise and the spanwise velocity fields in a wind farm, conventional yaw control is improved to maximize the generated power.

Keywords

Computational analysis

Wind farm control

Active yaw control

Particle swarm optimization

키워드

전산해석

풍력단지 제어

능동 요 제어

떼 지능 최적화

References

2021, Zong, H. and Porté-Agel, F., "Experimental investigation and analytical modelling of active yaw control for wind farm power optimization," Renewable Energy, Vol.170, pp.1228-1244.

10.1016/j.renene.2021.02.059

2018, Song, D., Fan, X., Yang, J., Liu, A., Chen, S. and Joo, Y.H. "Power extraction efficiency optimization of horizontal-axis wind turbines through optimizing control parameters of yaw control systems using an intelligent method," Appl. Energy, Vol.224, pp.267-279.

10.1016/j.apenergy.2018.04.114

2023, Song, J., Kim, T. and You, D., "Particle swarm optimization of a wind farm layout with active control of turbine yaws," Renewable Energy, Vol.206, pp.738-747.

10.1016/j.renene.2023.02.058

2014, Bastankhah, M. and Porté-Agel, F., "A new analytical model for wind-turbine wakes," Renewable Energy, Vol.70, pp.116-123.

10.1016/j.renene.2014.01.002

2020, Dou, B., Qu, T., Lei, L. and Zeng, P., "Optimization of wind turbine yaw angles in a wind farm using a three-dimensional yawed wake model," Energy, Vol.209, p.118415.

10.1016/j.energy.2020.118415

1998, Hansen, M.O., "Basic rotor aerodynamics applied to wind turbines."

2020, Wang, Z.J., Zhan, Z.H., Kwong, S., Jin, H. and Zhang, J., "Adaptive granularity learning distributed particle swarm optimization for large-scale optimization," IEEE Trans. Cybern., Vol.51, No.3, pp.1175-1188.

10.1109/TCYB.2020.297795632224474

2011, Wu, Y.T. and Porté-Agel, F., "Large-eddy simulation of wind-turbine wakes: evaluation of turbine parametrisations," Bound.-Layer Meteorol., Vol.138, pp.345-366.

10.1007/s10546-010-9569-x

1999, Leclerc, C., Masson, C., Ammara, I. and Paraschivoiu, I., "Turbulence modeling of the flow around horizontal axis wind turbines," Wind Eng., pp.279-294.

2006, Barthelmie, R.J., Larsen, G.C., Frandsen, S.T., Folkerts, L., Rados, K., Pryor, S.C., Lange, B. and Schepers, G., "Comparison of Wake Model Simulations with Offshore Wind Turbine Wake Profiles Measured by Sodar," J. Atmos. Ocean. Technol., Vol.23, No.7, pp.888-901.

10.1175/JTECH1886.1

2018, Damiani, R., Dana, S., Annoni, J., Fleming, P., Roadman, J., van Dam, J. and Dykes, K., "Assessment of wind turbine component loads under yaw-offset conditions," Wind Energy Sci., Vol.3, No.1, pp.173-189.

10.5194/wes-3-173-2018

Information

Publisher :Korean Society for Computational Fluids Engineering
Publisher(Ko) :한국전산유체공학회
Journal Title :Journal of Computational Fluids Engineering
Journal Title(Ko) :한국전산유체공학회지
Volume : 29
No :2
Pages :74-84
Received Date : 2024-04-25
Revised Date : 2024-06-11
Accepted Date : 2024-06-25
DOI :https://doi.org/10.6112/kscfe.2024.29.2.074

Journal of Computational Fluids Engineering ISSN:1598-6071(Print) 3022-6252(Online) 한국전산유체공학회지

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