Deep reinforcement learning for automatic generation control of wind farms

S Vijayshankar, P Stanfel, J King… - 2021 American …, 2021 - ieeexplore.ieee.org
This paper provides a model-free framework for real-time control of wind farms to accurately
track a power reference signal. This problem requires tractable dynamical models for …

[HTML][HTML] 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 …

Flow control leveraging downwind rotors for improved wind power plant operation

CJ Bay, J Annoni, LA Martínez-Tossas… - 2019 American …, 2019 - ieeexplore.ieee.org
Controlling the air flow within wind power plants has the potential to improve plant
performance and is an active area of research in the wind energy control community. In …

[HTML][HTML] Large-eddy simulation of a wind-turbine array subjected to active yaw control

M Lin, F Porté-Agel - Wind Energy Science, 2022 - wes.copernicus.org
This study validates large-eddy simulation (LES) for predicting the flow through a wind
turbine array subjected to active yaw control. The wind turbine array consists of three …

Wake steering of multirotor wind turbines

GA Speakman, M Abkar, LA Martínez‐Tossas… - Wind …, 2021 - Wiley Online Library
In this paper, wake steering is applied to multirotor turbines to determine whether it has the
potential to reduce wind plant wake losses. Through application of rotor yaw to multirotor …

Offshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation

S Anagnostopoulos, MD Piggott - Journal of Physics: Conference …, 2022 - iopscience.iop.org
Offshore wind farm modelling has been an area of rapidly increasing interest over the last
two decades, with numerous analytical as well as computational-based approaches …

[HTML][HTML] Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models

SJ Anagnostopoulos, J Bauer, MCA Clare… - Renewable Energy, 2023 - Elsevier
Wind farm modelling is an area of rapidly increasing interest with numerous analytical and
computational-based approaches developed to extend the margins of wind farm efficiency …

[HTML][HTML] A data-driven machine learning approach for yaw control applications of wind farms

C Santoni, Z Zhang, F Sotiropoulos… - Theoretical and Applied …, 2023 - Elsevier
This study proposes a cost-effective machine-learning based model for predicting velocity
and turbulence kinetic energy fields in the wake of wind turbines for yaw control …

Flow Modelling for Wind Farm Control: 2D vs. 3D

MJ Van den Broek, B Sanderse… - Journal of Physics …, 2022 - iopscience.iop.org
Control-oriented models provide a basis for wind farm control to improve power production
and reduce structural loading. Wake steering is considered to be one of the most promising …

A probabilistic learning approach applied to the optimization of wake steering in wind farms

JO Almeida, FA Rochinha - … of Computing and …, 2023 - asmedigitalcollection.asme.org
The wake steering control in wind farms has gained significant attention in the last years.
This control strategy has shown promise to reduce energy losses due to wake effects and …