Results 31 to 40 of about 15,833 (350)
Intelligent Wind Farm Control via Grouping-Based Reinforcement Learning
European Control Conference, 2022 This paper aims to maximize the total power generation for wind farms subject to strong wake effects and stochastic inflow wind speeds. A data-driven control method that only requires the accessible measurements of every turbine in the farm is proposed ...
Hongyang Dong, Xiaowei Zhao
semanticscholar +1 more source
A tutorial on control-oriented modeling and control of wind farms [PDF]
2017 American Control Conference (ACC), 2017 Wind turbines are often sited together in wind farms as it is economically advantageous. However, the wake inevitably created by every turbine will lead to a time-varying interaction between the individual turbines. Common practice in industry has been to control turbines individually and ignore this interaction while optimizing the power and loads of ...
Boersma, Sjoerd +7 more
openaire +2 more sources
FLORIDyn - A dynamic and flexible framework for real-time wind farm control
Journal of Physics: Conference Series, 2022 This paper presents a new framework of the FLOw Redirection and Induction Dynamics (FLORIDyn) model. It is able to dynamically simulate the wake behaviour in wind farms under heterogeneous and changing environmental conditions at a low computational cost.
M. Becker, D. Allaerts, J. van Wingerden
semanticscholar +1 more source
Reinforcement learning for wind-farm flow control: Current state and future actions
Theoretical and Applied Mechanics Letters, 2023 Wind-farm flow control stands at the forefront of grand challenges in wind-energy science. The central issue is that current algorithms are based on simplified models and, thus, fall short of capturing the complex physics of wind farms associated with ...
Mahdi Abkar +2 more
doaj +1 more source
Composite Experience Replay-Based Deep Reinforcement Learning With Application in Wind Farm Control
IEEE Transactions on Control Systems Technology, 2021 In this article, a deep reinforcement learning (RL)-based control approach with enhanced learning efficiency and effectiveness is proposed to address the wind farm control problem.
Hongyang Dong, Xiaowei Zhao
semanticscholar +1 more source
An active power control approach for wake-induced load alleviation in a fully developed wind farm boundary layer [PDF]
Wind Energy Science, 2019 This paper studies a closed-loop wind farm control framework for active power control (APC) with a simultaneous reduction of wake-induced structural loads within a fully developed wind farm flow interacting with the atmospheric boundary layer.
M. Vali +4 more
doaj +1 more source
Exploring the application of reinforcement learning to wind farm control
Journal of Physics, Conference Series, 2021 Optimal control of wind farms to maximize power is a challenging task since the wake interaction between the turbines is a highly nonlinear phenomenon. In recent years the field of Reinforcement Learning has made great contributions to nonlinear control ...
H. Korb +3 more
semanticscholar +1 more source
Comparison of wind farm control strategies under realistic offshore wind conditions: turbine quantities of interest [PDF]
Wind Energy ScienceWind farm flow control is a strategy to increase the efficiency and therefore lower the levelized cost of energy of a wind farm. This is done using turbine settings such as the yaw angle, blade pitch angles, or generator torque to manipulate the flow ...
J. A. Frederik +5 more
doaj +1 more source
A wake detector for wind farm control
Journal of Physics: Conference Series, 2015 The paper describes an observer capable of detecting the impingement on a wind turbine rotor of the wake of an upstream machine. The observer estimates the local wind speed and turbulence intensity on the left and right parts of the rotor disk. The estimation is performed based on blade loads measured by strain gages or optical fibers, sensors which ...
BOTTASSO, CARLO LUIGI +2 more
openaire +1 more source
A Review of Methodological Approaches for the Design and Optimization of Wind Farms [PDF]
, 2014 This article presents a review of the state of the art of the Wind Farm Design and Optimization (WFDO) problem. The WFDO problem refers to a set of advanced planning actions needed to extremize the performance of wind farms, which may be composed of a ...
Gunner Larsen +12 more
core +1 more source