Advanced Control Techniques for Power Electronics: Addressing Challenges in Renewable Energy System Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: 15 September 2025 | Viewed by 47
Special Issue Editors
Interests: dynamical modeling, stability, and control of power systems; robust adaptive control of modern power systems (with photovoltaic and wind generators); robust control of microgrids (AC, DC, and hybrid AC/DC)
Special Issues, Collections and Topics in MDPI journals
Interests: microgrid & energy storage system; smart grid communication; power system stability; energy management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of renewable energy systems, electric vehicles, and smart grids has brought power electronics to the forefront of modern electrical engineering. Power electronics serve as a critical interface between energy sources and loads, ensuring efficient energy conversion and control. However, the increasing complexity of power systems, such as distributed energy resources, microgrids, and electric mobility, requires robust and advanced control methods to optimize performance, enhance stability, and ensure reliability under diverse operating conditions.
This Special Issue on advanced control methods for power electronics aims to explore cutting-edge solutions in control theory and their application to power electronic systems. The focus is on addressing the critical challenges that arise from the integration of renewable energy, hybrid AC/DC systems, energy storage, and more complex converter architectures.
This Special Issue will provide a platform for disseminating knowledge on state-of-the-art control methods, such as model predictive control, sliding mode control, adaptive control, robust and intelligent control methods, their applications in power electronic systems, and real-time simulation and experimental validation of advanced control systems. However, research areas may include (but are not limited to) the following:
- Nonlinear Control in Power Electronics: New methods for addressing nonlinear dynamics in power converters and systems with constant power loads.
- Model Predictive Control for Power Converters: Innovations in predictive control that enhance performance in high-power, high-speed converters.
- Sliding Mode Control: Applications of sliding mode control in handling disturbances and ensuring robustness in energy conversion systems.
- Artificial Intelligence and Machine Learning-based Control: Use of AI and ML techniques for adaptive, real-time control of power electronic systems.
- Robust and Adaptive Control Techniques: Approaches to manage uncertainties and system variations in renewable energy systems, electric vehicles, and industrial applications.
- Hybrid Control Strategies for Grid-Connected Systems: Advanced hybrid control strategies for integrating renewable energy sources and storage with AC/DC microgrids.
- Stability and Dynamic Response in Complex Power Electronic Systems: Control strategies to improve dynamic response, voltage stability, and power quality in microgrids and smart grids.
We look forward to receiving your contributions.
Dr. Tushar Kanti Roy
Prof. Dr. Aman Maung Than Oo
Guest Editors
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Keywords
- model predictive control
- sliding mode control
- AI in power electronics
- ML-based control
- robust and adaptive control
- hybrid control for microgrids
- Lyapunov system stability in power electronics
- dynamic response in microgrids
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