Intelligent Operation and Control of Resilient Microgrids
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: 24 October 2025 | Viewed by 464
Special Issue Editor
Interests: electric power industry; agent systems; artificial intelligence; software design; smart grids; ICT infrastructure
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In an era of rapid transformation and growing demand for sustainable energy solutions, microgrids emerge as alternative small-scale resilient energy systems. Integrating intermittent renewable energy sources, such as solar and wind, into microgrids requires complex control mechanisms to balance generation and load while maintaining consistent frequency and voltage levels, especially during transitions between grid-connected and islanded microgrid operations. Intelligent operation and control of resilient microgrids is a new paradigm that requires real-time data analytics, predictive modeling, adaptive control, knowledge-based systems, optimal power flow, and decision-making strategies that are essential for maintaining generation–load balance while ensuring reliable power supply.
This Special Issue aims to present the latest research on intelligent operation and control of resilient microgrids, with a focus on integrating emerging AI technologies into energy management, protection and control, resiliency, ancillary services, and data management.
Topics of interest for this publication include, but are not limited to, the following:
- Advanced control techniques for resilient microgrids, including decentralized and centralized control strategies.
- Intelligent energy management systems for optimizing generation, storage, and demand response in microgrids.
- Strategies for a seamless transition between grid-connected and islanded modes of operation in microgrids.
- Integration of renewable energy sources, energy storage, and electric vehicles in microgrid architectures.
- Real-time monitoring and adaptive control of microgrid performance using big data analytics and machine learning.
- Fault detection, diagnostics, and fault-tolerant control mechanisms to ensure continuous operation in critical applications.
- Resilient operation of microgrids under extreme conditions, such as natural disasters or system failures.
- System reconfiguration and load-shedding techniques for maintaining stability during faults or disturbances.
- Ancillary services in microgrid operation, such as voltage and frequency regulation, load balancing, and black-start capabilities.
- Cybersecurity and data management strategies for ensuring secure and efficient microgrid operation.
- Modular and scalable microgrid designs for integrating distributed energy resources in urban, rural, and remote areas.
- Optimal design methodologies for resilient and intelligent microgrids, focusing on reliability, cost-effectiveness, and sustainability.
We invite contributions that address the integration of intelligent operation and control in microgrids, focusing on innovative solutions for optimizing performance, ensuring reliability, and enhancing the resilience of microgrids in the face of increasingly complex operational challenges.
We look forward to your contributions.
Dr. Salem Al-Agtash
Guest Editor
Manuscript Submission Information
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Keywords
- microgrids
- intelligent operation and control
- energy management
- renewable energy integration
- resilient energy systems
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