Cooperative yaw control of wind farm using a double-layer machine learning framework
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Cooperative yaw control of wind farm using a double-layer machine learning framework
Authors
Keywords
Wind farm, ANN yawed wake model, Bayesian optimization, Double-layer machine learning framework, Cooperative yaw control
Journal
RENEWABLE ENERGY
Volume 193, Issue -, Pages 519-537
Publisher
Elsevier BV
Online
2022-05-04
DOI
10.1016/j.renene.2022.04.104
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Artificial Neural Networks based wake model for power prediction of wind farm
- (2021) Zilong Ti et al. RENEWABLE ENERGY
- Optimization of wind turbine yaw angles in a wind farm using a three-dimensional yawed wake model
- (2020) Bingzheng Dou et al. ENERGY
- Wind farm power optimization via yaw angle control: A wind tunnel study
- (2019) Majid Bastankhah et al. Journal of Renewable and Sustainable Energy
- Wake modeling of wind turbines using machine learning
- (2019) Zilong Ti et al. APPLIED ENERGY
- A New Analytical Wake Model for Yawed Wind Turbines
- (2018) Guo-Wei Qian et al. Energies
- A new Gaussian-based analytical wake model for wind turbines considering ambient turbulence intensities and thrust coefficient effects
- (2018) Takeshi Ishihara et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Modelling turbulence intensity within a large offshore wind farm
- (2018) Peter Argyle et al. WIND ENERGY
- Wind farm distributed PSO-based control for constrained power generation maximization
- (2018) Nicolò Gionfra et al. RENEWABLE ENERGY
- Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization
- (2016) Jinkyoo Park et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Experimental and theoretical study of wind turbine wakes in yawed conditions
- (2016) Majid Bastankhah et al. JOURNAL OF FLUID MECHANICS
- Wake structure in actuator disk models of wind turbines in yaw under uniform inflow conditions
- (2016) Michael F. Howland et al. Journal of Renewable and Sustainable Energy
- Wind turbine wake models developed at the technical university of Denmark: A review
- (2016) Tuhfe Göçmen et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm
- (2015) Yu-Ting Wu et al. RENEWABLE ENERGY
- A new analytical model for wind-turbine wakes
- (2014) Majid Bastankhah et al. RENEWABLE ENERGY
- Blind Test 2 calculations for two in-line model wind turbines where the downstream turbine operates at various rotational speeds
- (2014) Fabio Pierella et al. RENEWABLE ENERGY
- An improvedk-ϵmodel applied to a wind turbine wake in atmospheric turbulence
- (2014) M. Paul van der Laan et al. WIND ENERGY
- Wind farm layout optimization using genetic algorithm with different hub height wind turbines
- (2013) Ying Chen et al. ENERGY CONVERSION AND MANAGEMENT
- A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods
- (2013) Jason R. Marden et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Atmospheric Turbulence Effects on Wind-Turbine Wakes: An LES Study
- (2012) Yu-Ting Wu et al. Energies
- Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation
- (2011) Souma Chowdhury et al. RENEWABLE ENERGY
- Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms
- (2010) R. J. Barthelmie et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- Modelling and measuring flow and wind turbine wakes in large wind farms offshore
- (2009) R. J. Barthelmie et al. WIND ENERGY
- An extended model for turbulent flow through horizontal-axis wind turbines
- (2007) Amina El Kasmi et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More