Future Multi-Energy Smart-Grids: Advances in Operation, Control, and Monitoring
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 44
Special Issue Editors
Interests: AC/DC microgrids; hierarchical controls; microgrid clusters; fast-time domain methods; harmonic analysis; stability analysis
Special Issues, Collections and Topics in MDPI journals
Interests: electric vehicle charging strategies; demand response for smart grids; flexible load modeling; optimization techniques; electrical grid analysis in real-time simulators
Special Issues, Collections and Topics in MDPI journals
Interests: microgrid clusters; energy management; hierarchical control; distributed generation; digital twin; IoT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, power systems worldwide are undergoing a key transition towards green energies, bringing about the integration of multiple distributed renewable energy sources into the grid. To cope with these advances, microgrid-based smart-grids have emerged as a potential electrification solution due to their operating characteristics, incorporating high levels of resilience and reliability. In this way, research efforts have been placed on these modern multi-energy systems for enhancing controllability, grid balancing, and stability when operating in isolated mode or interconnected with the main grid in both single smart grid systems and smart grid cluster systems.
Regarding the above, this Special Issue of Energies focuses on the future challenges associated with the operation, control, and monitoring of multi-energy smart grids. In detail, this Special Issue includes, but it is not limited to, the following:
- Optimal energy management systems and AI.
- Time- and frequency-domain analysis methods.
- Electric vehicle integration.
- Vehicle-to-grid strategies.
- Balancing service provider methodologies.
- Energy storage systems’ integration and control.
- Black-box modeling and machine learning.
- Stability and power quality enhancement.
- Renewable energies’ planning and sizing.
- Black-start and self-restoration.
- P2X and carbon capture.
- Hierarchical control schemes for cluster operation.
- Grid-fault ride-through.
- Smart grid protection schemes.
Dr. Gibran David Agundis Tinajero
Dr. Cesar Diaz-Londono
Prof. Dr. Juan C. Vasquez
Guest Editors
Manuscript Submission Information
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Keywords
- smart grids
- renewable energy integration
- time- and frequenc- domain analysis
- stability analysis
- electric vehicle
- hierarchical control strategies
- AI and machine learning
- energy storage systems
- power quality
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