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Novel Research on Wind Turbine Control and Integration
This special issue belongs to the section “Energy Sustainability“.
Special Issue Information
Dear Colleagues,
As renewable energy, wind energy has grown substantially in recent years, with large-scale production underway worldwide. Novel methods of effective control and grid integration can help ensure a reliable electricity supply, reduce the cost of energy and maximize the contribution of wind energy.
Faced with problems related to nonlinear dynamics and uncertainties, as well as the poor quality of the energy injected into wind systems, the control system is very important in order to improve the quality of the energy injected into the power grid and also to improve the efficiency and robustness of wind systems.
Advanced control techniques, based on the use of artificial intelligence techniques or metaheuristic methods applied to classic techniques (Sliding Mode, Backstepping, DPC, Predictive, etc.), aim to improve the performance of wind systems based on the Double Feed Induction Machine (DFIG) or the Permanent Magnet Synchronous Machine (PMSG) in terms of robustness and also the problems of integration into the grid.
This Special Issue of Sustainability aims to address the challenges of designing and using advanced wind turbine control techniques to convert kinetic energy into electrical energy. Original submissions focused on new control techniques and implementation on electronic boards (DsPACE, FPGA, STM, etc.) are welcome. Topics of interest in this Special Issue include, but are not limited to:
- The adaptive control of wind systems;
- The new configuration of wind systems;
- The backward control of wind systems;
- The sliding mode control (high order, super-twist, etc.) of wind systems;
- The direct power or torque control of wind systems;
- The predictive control of wind systems;
- Algorithms to optimize control systems of wind systems;
- Wind System Control Observers;
- The integration of wind systems into the power grid;
- Emerging power electronics for electric drives in renewable energy applications;
- Maximum power point controllers;
- Grid-connected inverter controllers;
- Battery charge controllers;
- The modeling and simulation of smart grids;
- Artificial intelligence control techniques for wind systems;
- Real-Time DsPACE implementation;
- Real-Time FPGA implementation.
We invite you to submit your original papers to this Special Issue entitled “Novel Research on Wind Turbine Control and Integration” and look forward to receiving your outstanding research.
Prof. Dr. Bossoufi Badre
Prof. Dr. Youness El Mourabit
Dr. Manale Boderbala
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- wind turbine
- power control
- smart grids
- predictive control
- renewable energy
- energy harvesting
- energy storage
- real-time FPGA implementation
- multilevel converters
- artificial intelligence
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