Advanced Technologies in Modeling and Control of Microgrid

Dear Colleagues,

The integration of distributed energy resources, energy storage systems, and flexible loads has transformed microgrids into complex, dynamic systems requiring advanced modeling and control technologies. As microgrids become more prevalent in both grid-connected and islanded modes, there is an increasing need for innovative technologies that enhance their stability, efficiency, resilience, and interoperability. This Special Issue, "Advanced Technologies in Modeling and Control of Microgrid", aims to gather together cutting-edge research on novel modeling frameworks, intelligent control systems, and resilient operation strategies that address the challenges of modern microgrids.

We welcome contributions that explore a wide range of advanced technologies, including but not limited to the following:

1. AI-Enhanced Modeling and Control: Applications of artificial intelligence, machine learning, and data-driven techniques for dynamic modeling, state estimation, predictive control, and real-time optimization of microgrids.
2. Resilience-Oriented Design and Operation: Strategies to enhance microgrid resilience against disturbances, faults, and cyber-physical threats, including self-healing mechanisms, adaptive protection, and restoration techniques.
3. Frequency and Voltage Stability: Advanced control methods for maintaining frequency and voltage stability in microgrids with high penetration of inverter-based resources, including grid-forming and grid-following control techniques.
4. Digital Twin and Real-Time Simulation: Development and application of digital twins, hardware-in-the-loop (HIL), and real-time simulation platforms for testing and validating microgrid models and control strategies.
5. Distributed and Cooperative Control: Decentralized, multi-agent, and consensus-based control architectures that enable robust and scalable microgrid operation.
6. Hybrid Modeling Approaches: Integration of physics-based models with data-driven methods to improve accuracy, scalability, and adaptability in microgrid simulation and control.

This Special Issue seeks original research, case studies, and review articles that demonstrate the practical applicability and effectiveness of these advanced technologies in real-world or simulated microgrid environments. By fostering interdisciplinary dialogue, we aim to support the development of smarter, more resilient, and sustainable microgrid systems for future energy networks.

Researchers and practitioners from academia, industry, and government are invited to submit their manuscripts.

Dr. Ning Qi
Dr. Yifan Su
Dr. Peng Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.