Optimization and Control of Renewable Power Systems

Dear Colleagues,

Currently, the global energy landscape is undergoing a profound transformation, driven by the rapid integration of renewable energy sources (RES) into existing power grids. While this shift is essential for decarbonization, it introduces significant challenges to system stability, reliability, and resilience. The inherent intermittency and variability of renewable energy, such as wind and solar, complicate the task of maintaining real-time power balance and system frequency within acceptable limits. Traditional load frequency control (LFC) methods, designed for conventional power systems with synchronous generators, are often inadequate to address the dynamic characteristics of modern, renewable-rich grids. Consequently, there is a pressing need to develop advanced control strategies, optimization frameworks, and coordination mechanisms that can effectively manage these new complexities.

This Special Issue aims to compile cutting-edge research addressing the critical challenges and opportunities in controlling and optimizing renewable power systems. We seek to showcase innovative methodologies that enhance system stability, improve frequency regulation, and leverage artificial intelligence for smarter grid management.

Topics of interests include, but are not limited to, the following:

• Load frequency control of renewable power systems.
• Active frequency support of wind farms, thermal power plants, battery energy storage systems and so on.
• Data-driven and AI-enhanced control and optimization of renewable power systems.
• Coordinated control technologies for multi-energy power systems.
• Unit commitment and economic dispatch of renewable power systems.

Dr. Xiao Qi
Dr. Ming Du
Dr. Jianguo Zhou
Guest Editors

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