Wind farm control technologies: from classical control to reinforcement learning
H Dong, J Xie, X Zhao - Progress in Energy, 2022 - iopscience.iop.org
Wind power plays a vital role in the global effort towards net zero. A recent figure shows that
93GW new wind capacity was installed worldwide in 2020, leading to a 53% year-on-year …
93GW new wind capacity was installed worldwide in 2020, leading to a 53% year-on-year …
[HTML][HTML] Dynamic wind farm wake modeling based on a Bilateral Convolutional Neural Network and high-fidelity LES data
Wake interactions between wind turbines have a great impact on the overall performance of
a wind farm. In this work, a novel deep learning method, called Bilateral Convolutional …
a wind farm. In this work, a novel deep learning method, called Bilateral Convolutional …
Particle swarm optimization of a wind farm layout with active control of turbine yaws
J Song, T Kim, D You - Renewable Energy, 2023 - Elsevier
Higher annual energy production can be obtained by joint optimization which considers
active yaw control in the layout design stage. Although accurate representation of a non …
active yaw control in the layout design stage. Although accurate representation of a non …
Parametric study of the effectiveness of active yaw control based on large eddy simulation
D Wei, N Wang, D Wan, S Strijhak - Ocean Engineering, 2023 - Elsevier
Previous studies on active yaw control (hereafter, AYC) have demonstrated its potential in
wind farm power optimization. However, most focus are concentrated on the amount of …
wind farm power optimization. However, most focus are concentrated on the amount of …
Machine-learning-based wind farm optimization through layout design and yaw control
The high power extraction of wind farms necessitates a comprehensive optimization system
encompassing precise and efficient layout design and cooperative control. This study …
encompassing precise and efficient layout design and cooperative control. This study …
[HTML][HTML] A low-complexity evolutionary algorithm for wind farm layout optimization
X Huang, Z Wang, C Li, M Zhang - Energy Reports, 2023 - Elsevier
The wind farm layout determines the power generation ability, and its optimization remains
challenging in terms of algorithm complexity and performance. Several greedy-derived and …
challenging in terms of algorithm complexity and performance. Several greedy-derived and …
Optimal control of a wind farm in time-varying wind using deep reinforcement learning
T Kim, C Kim, J Song, D You - Energy, 2024 - Elsevier
A deep-reinforcement-learning (DRL) based control method to take the advantage of
complex wake interactions in a wind farm is developed. Although the wind over a wind farm …
complex wake interactions in a wind farm is developed. Although the wind over a wind farm …
Effectiveness of cooperative yaw control based on reinforcement learning for in-line multiple wind turbines
Wind farm wake interactions are critical determinants of overall power generation efficiency.
To address these challenges, coordinated yaw control of turbines has emerged as a highly …
To address these challenges, coordinated yaw control of turbines has emerged as a highly …
考虑尾流效应的分布式海上风电制氢集群容量优化配置
李佳蓉， 林今， 陈凯旋， 宋永华， 徐衍会 - 电力系统自动化, 2023 - epjournal.csee.org.cn
离岸海上风电制氢是中远海风力资源利用的重要方式, 而分布式风电制氢机组由于无须集中汇流
与大规模平台搭建, 成为学界业界重点关注的技术路线. 然而, 受风场尾流效应影响 …
与大规模平台搭建, 成为学界业界重点关注的技术路线. 然而, 受风场尾流效应影响 …
MORSA: Multi-objective reptile search algorithm based on elite non-dominated sorting and grid indexing mechanism for wind farm layout optimization problem
Y Zheng, JS Wang, JH Zhu, XY Zhang, YX Xing… - Energy, 2024 - Elsevier
The proposal of the wind farm layout optimization (WFLO) problem aims to better utilize wind
energy. A multi-objective reptile search algorithm (MORSA) based on elite non-dominated …
energy. A multi-objective reptile search algorithm (MORSA) based on elite non-dominated …