Advanced Wind Energy Systems: Nonlinear Control, Smart Algorithm Applications, and Power Quality Enhancement
A Special Issue of Energies (ISSN 1996-1073) belonging to the section "A3: Wind, Wave and Tidal Energy".
Deadline for manuscript submissions: 15 January 2027 | Viewed by 186
Editor
Interests: wind turbine system; power system; intelligent control; electronics; electrical machines; DC-DC converter; DC-AC converters; robust control; PV systems; power quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid expansion of wind energy systems has increased the demand for advanced control strategies capable of ensuring high performance, reliability and power quality under varying operating conditions. Multi-rotor wind turbine technologies have emerged as promising solutions for enhancing energy capture efficiency, operational flexibility and system resilience in modern renewable energy applications. However, their complex dynamics require innovative nonlinear control methods and intelligent algorithms to achieve optimal performance and stable grid integration.
This Special Issue focuses on recent advances in nonlinear control, smart optimization algorithms and intelligent monitoring techniques applied to wind energy systems. Topics of interest include adaptive and robust control, artificial intelligence and machine learning applications, fault-tolerant control, predictive algorithms and real-time energy management strategies. Particular attention is given to power quality enhancement, including harmonic mitigation, voltage regulation, frequency stability and grid synchronization.
The Special Issue aims to provide a platform for researchers and industry experts to present innovative solutions that improve the efficiency, reliability and sustainability of next-generation wind energy systems while supporting the transition toward cleaner and smarter power networks.
- Nonlinear, Adaptive and Robust Control of Multi-Rotor Wind Energy Systems;
- Artificial Intelligence, Machine Learning and Intelligent Optimization for Wind Energy Applications;
- Fault-Tolerant Control, Predictive Monitoring and Real-Time Energy Management in Wind Turbines;
- Power Quality Enhancement and Grid Integration of Multi-Rotor Wind Energy Systems.
Prof. Dr. Habib Benbouhenni
Guest Editor
Manuscript Submission Information
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Keywords
- multi-rotor wind turbines
- wind energy systems
- nonlinear control
- adaptive control
- robust control
- intelligent control
- artificial intelligence
- machine learning
- smart optimization algorithms
- predictive control
- fault-tolerant control
- intelligent monitoring
- condition monitoring
- real-time energy management
- renewable energy systems
- power quality
- harmonic mitigation
- voltage regulation
- frequency stability
- grid synchronization
- grid integration
- smart grids
- energy conversion systems
- digital twin
- data-driven control
- predictive maintenance
- optimization techniques
- sustainable energy systems
- advanced control strategies
- intelligent energy systems
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