Application of Predictive Control in the Integration and Energy Conversion of Renewable Energy

Dear Colleagues,

Renewable energy sources continue to play a pivotal role in the global energy landscape but integrating them into power systems presents significant challenges. Predictive control has emerged as a powerful solution to address the dynamic and complex nature of renewable energy integration and energy conversion systems. By providing optimal, real-time control strategies, predictive control enhances the performance, stability, and energy efficiency of systems while reducing operational costs and minimizing the impact of uncertainties.

This Special Issue aims to highlight the latest developments and applications of predictive control in renewable energy integration and energy conversion systems. Its topics of interest include, but are not limited to, the following:

• New MPC techniques for power converters: multilevel, matrix, and classical converters for AC-AC, DC-DC, and DC-AC (bidirectional) power conversion.
• New MPC techniques for motor drives.
• Predictive control for power systems, smart and micro-grids, and wind, solar, and other energy conversion systems.
• Advanced MPC techniques for energy/power conversion system maintenance, including, but not limited to, fault detection and diagnosis, power electronics reliability and fault-tolerant control.
• MPC grid-integrated applications for low-inertia and inertia-varying grids.
• MPC solutions for very-low-switching-frequency medium-voltage/high-power drives.
• Data-driven (modeless) and artificial intelligence solutions for MPC, etc.

Prof. Dr. Zhenbin Zhang
Dr. Zhen Li
Dr. Yanhua Liu
Dr. Oluleke Babayomi
Dr. Yu Li
Guest Editors

Manuscript Submission Information

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