Control and Optimization in a DC Microgrid
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 6763
Special Issue Editors
Interests: microgrids; renewable energy; power electronics; smart grid; fault-tolerant control; power system optimisation
Special Issue Information
Dear Colleagues,
The Guest Editor is inviting submissions to a Special Issue of Energies on the subject area of “Control and Optimization in a DC Microgrid”.
In recent years, the microgrid concept has emerged as a viable solution for accommodating increasing levels of distributed renewable energy integration at low voltage levels, as well as a building block of the smart grid. At low voltage levels, many distributed renewable energy resources (e.g., PVs, fuel cells), storage systems (e.g., batteries), as well as many modern loads (e.g., consumer electronics, LED lighting) are inherently DC. Therefore, using a DC microgrid, simpler power electronic interfaces can be employed. Some of the current challenges for research in microgrid control are improvement in control (particularly distributed/decentralised control), stability, and optimisation in design and operation. The aim of this Special Issue is therefore to disseminate novel control and optimisation techniques for DC microgrids. Topics of interest for publication include but are not limited to:
- DC microgrid control
- Optimization in DC microgrids
- Hierarchical control in DC microgrids
- Energy management systems for DC microgrids
- Distributed/decentralised control in DC microgrids
- Multiagent systems for DC microgrids
- Stability in DC microgrids
- Real-time monitoring and control
- Microgrid clusters
- Application of the Internet of Things in DC microgrid
- Blockchain energy management systems
Prof. Dr. Mahmoud Shahbazi
Dr. Sajad Sadr
Guest Editors
Manuscript Submission Information
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Keywords
- DC microgrid
- Microgrid control
- Optimization
- Energy management
- Distributed control
- Stability.
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