Turbulence and control of wind farms
CR Shapiro, GM Starke… - Annual Review of Control …, 2022 - annualreviews.org
The dynamics of the turbulent atmospheric boundary layer play a fundamental role in wind
farm energy production, governing the velocity field that enters the farm as well as the …
farm energy production, governing the velocity field that enters the farm as well as the …
Control-oriented modelling of wind direction variability
Wind direction variability significantly affects the performance and lifetime of wind turbines
and wind farms. Accurately modelling wind direction variability and understanding the …
and wind farms. Accurately modelling wind direction variability and understanding the …
A dynamic model of wind turbine yaw for active farm control
This paper presents a graph‐based dynamic yaw model to predict the dynamic response of
the hub‐height velocities and the power of a wind farm to a change in yaw. The model builds …
the hub‐height velocities and the power of a wind farm to a change in yaw. The model builds …
Dynamic wind farm flow control using free-vortex wake models
MJ van den Broek, M Becker… - Wind Energy …, 2023 - wes.copernicus.org
A novel dynamic economic model-predictive control strategy is presented that improves
wind farm power production and reduces the additional demands of wake steering on yaw …
wind farm power production and reduces the additional demands of wake steering on yaw …
Wind-field identification for parafoils based on deep Q-learning iterative inversion
Powered parafoils are flexible aircraft with high load capacities and low costs and are often
used in long-term surveillance and airdrop missions. As a flexible aircraft, powered parafoil …
used in long-term surveillance and airdrop missions. As a flexible aircraft, powered parafoil …
Stochastic Dynamical Modeling of Wind Farm Turbulence
AH Bhatt, M Rodrigues, F Bernardoni, S Leonardi… - Energies, 2023 - mdpi.com
Low-fidelity engineering wake models are often combined with linear superposition laws to
predict wake velocities across wind farms under steady atmospheric conditions. While …
predict wake velocities across wind farms under steady atmospheric conditions. While …
Stochastic dynamical wake modeling for wind farms
Low-fidelity analytical models of turbine wakes have traditionally been used for wind farm
planning, performance evaluation, and demonstrating the utility of advanced control …
planning, performance evaluation, and demonstrating the utility of advanced control …
[PDF][PDF] Wind farm modeling for design and active power control of wind farms
GM Starke - 2022 - jscholarship.library.jhu.edu
As the interest in reducing carbon emissions continues, wind energy has become a
prominent component of a carbon-free electrical supply. However, as wind continues to …
prominent component of a carbon-free electrical supply. However, as wind continues to …
A Distributed Reinforcement Learning Framework for Wind Farm Energy Capture Maximization
PA Stanfel - 2020 - search.proquest.com
In this thesis, we present a distributed reinforcement learning framework for wind farm
energy capture maximization using yaw control, also known as wake steering. Specifically …
energy capture maximization using yaw control, also known as wake steering. Specifically …
Wind Direction Numerical Simulation and Application Based on Wind Direction Vector Correlation and Two-dimensional Spatial Neural Networks
X Bingkun, W Xiaoyu, B Haojiang… - … on Power and …, 2023 - ieeexplore.ieee.org
A wind direction numerical simulation algorithm based on wind vector correlation and two-
dimensional spatial neural networks is proposed to achieve accurate numerical simulation …
dimensional spatial neural networks is proposed to achieve accurate numerical simulation …