About this Research Topic
There is a widespread consensus that renewable energy sources such as wind, marine, hydro, and solar must be considered to mitigate climate change and reduce air pollution. Consequently, research on renewable energies and, particularly, on control and efficiency is encouraged to contribute to this sustainable trend. Among renewable energies, wind is one of the most used energy sources, due to its high availability. However, to contribute to this clean and sustainable goals, research on wind energy and wind turbines must continue and take a leap forward.
Among other energy efficiency goals, controlling wind turbines and wind farms remains a challenge for engineers. Its main difficulty from the control point of view comes from the fact that they must meet several objectives simultaneously. Expanding the target to other related aspect of wind turbine efficiency, some other aspects arise, as modelling and optimization.
This Research Topic solicits contributions in the field of modelling, control, and optimization of wind energy converters with the aim of slowing down climate change and increasing energy-efficiency. The Research Topic is focused on the efficient control of wind turbines to generate energy and on reducing vibrations, with or without structural control devices, decreasing fatigue.
Expert systems, fuzzy control, neural networks, genetic algorithms, artificial immune networks, swarming particle techniques, ACO, reinforcement learning, and other intelligent control techniques have proved to be effective in many different fields. They can be applied to tackle complex problems where conventional methods are less efficient or unsuccessful. Application of these intelligent techniques to the control of wind energy devices are welcome.
The aim of this Research Topic is to bring together research works on different aspects of wind energy systems, mainly focused on modelling, control and optimization of onshore and offshore wind turbines. The Research Topic will discuss some issues of these complex systems, including application of conventional and soft computing techniques, heuristic optimization, intelligent approaches, both for system modelling and control design, and potential applications to real-world systems related to wind energy. Contributions to this Research Topic are welcome to present and discuss novel methods, algorithms, frameworks, architectures, platforms, and applications.
This Research Topic is devoted to all topics related with wind energy devices, including (but not limited to) the following subjects:
• Modelling, identification, and optimization of wind converter systems.
• Modelling and identification of wind, waves, and environmental disturbances related to wind turbines.
• Conventional, advanced, and intelligent control techniques applied to different elements of wind turbines.
• Onshore and offshore control-oriented digital twins.
• Operation & maintenance in wind turbines. Fault-detection.
• Wind and wave prediction for feed-forward control.
Among other energy efficiency goals, controlling wind turbines and wind farms remains a challenge for engineers. Its main difficulty from the control point of view comes from the fact that they must meet several objectives simultaneously. Expanding the target to other related aspect of wind turbine efficiency, some other aspects arise, as modelling and optimization.
This Research Topic solicits contributions in the field of modelling, control, and optimization of wind energy converters with the aim of slowing down climate change and increasing energy-efficiency. The Research Topic is focused on the efficient control of wind turbines to generate energy and on reducing vibrations, with or without structural control devices, decreasing fatigue.
Expert systems, fuzzy control, neural networks, genetic algorithms, artificial immune networks, swarming particle techniques, ACO, reinforcement learning, and other intelligent control techniques have proved to be effective in many different fields. They can be applied to tackle complex problems where conventional methods are less efficient or unsuccessful. Application of these intelligent techniques to the control of wind energy devices are welcome.
The aim of this Research Topic is to bring together research works on different aspects of wind energy systems, mainly focused on modelling, control and optimization of onshore and offshore wind turbines. The Research Topic will discuss some issues of these complex systems, including application of conventional and soft computing techniques, heuristic optimization, intelligent approaches, both for system modelling and control design, and potential applications to real-world systems related to wind energy. Contributions to this Research Topic are welcome to present and discuss novel methods, algorithms, frameworks, architectures, platforms, and applications.
This Research Topic is devoted to all topics related with wind energy devices, including (but not limited to) the following subjects:
• Modelling, identification, and optimization of wind converter systems.
• Modelling and identification of wind, waves, and environmental disturbances related to wind turbines.
• Conventional, advanced, and intelligent control techniques applied to different elements of wind turbines.
• Onshore and offshore control-oriented digital twins.
• Operation & maintenance in wind turbines. Fault-detection.
• Wind and wave prediction for feed-forward control.
Keywords: Control, Modelling, Optimization, Operation & Maintenance, Wind turbines.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
