Next-Generation Microgrids: Intelligent Modeling, Control, and Digital Integration of Renewable Energy Systems

Dear Colleagues,

The transition to a sustainable and resilient energy future relies heavily on the deployment of renewable energy-based microgrids. These systems enable decentralized energy generation, improved reliability, and the efficient integration of diverse sources such as solar, wind, and energy storage. This Special Issue aims to gather high-quality research focused on the design, modeling, control, and optimization of microgrids that enhance energy sustainability and operational intelligence.

Key topics include the development of DC and AC microgrids, control strategies for both islanded and grid-connected operation, and the role of power electronics in integrating renewable energy and electric vehicles. Emphasis is also placed on energy management systems (EMS), power quality, load balancing, and the contribution of storage technologies to system stability.

We welcome submissions addressing the use of digital technologies—such as the Internet of Things (IoT), cloud computing, and edge-based architectures—for real-time monitoring and smart control. In addition, this Special Issue highlights the role of artificial intelligence in forecasting renewable generation and demand, intelligent control strategies, and predictive maintenance within microgrid environments.

Original research articles, technical reviews, and theoretical developments are encouraged to advance the state of the art in intelligent, renewably powered microgrids.

This Special Issue aims to gather innovative research on the design, modeling, implementation, and optimization of renewable energy-based microgrids. Topics of interest include, but are not limited to:

Modeling and Control of Microgrids:

• Design and control of DC and AC microgrids with renewable sources;
• Operational strategies for islanded and grid-connected modes;
• Power electronics for renewable energy integration;
• Integration of electric vehicles into microgrid systems.

Energy Management and Operational Stability:

• Energy Management Systems (EMS);
• Power quality, load balancing, and energy efficiency;
• Integration and impact of energy storage systems on microgrid.

Digital Technologies for Smart Microgrids:

• Internet of Things (IoT), Big Data, and cloud computing;
• Real-time monitoring using edge-cloud architectures.

Artificial Intelligence Applications in Microgrids:

• AI-based forecasting of renewable generation and energy demand;
• Intelligent control strategies using reinforcement learning;
• Predictive maintenance and fault detection;
• AI applications in rural, urban, and islanded microgrids.

Prof. Dr. Juan Miguel Gonzalez-Lopez
Dr. Ramón Jiménez Betancourt
Prof. Dr. Julio Cesar Rosas Caro
Guest Editors

Manuscript Submission Information

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