The outcome of this paper is to suggest an efficient energy-management strategy (EMS) for a direct-current (DC) microgrid (MG). The typical MG is composed of two renewable energy sources
Optimal storage capacity and planning for the microgrid is proposed based on a bi-level optimization structure. The proliferation of RESs within the residential sector, while a significant step
This systematic review, following the PRISMA 2020 methodology, analyzed 66 studies focused on advanced energy storage systems, intelligent control strategies, and optimization
Simulation results validate the effectiveness of the control strategy, demonstrating significant improvements in energy efficiency, system stability, and overall dynamic performance
These results confirm the potential of combining deep learning with nature-inspired optimization to support intelligent, low-emission energy management in hydrogen-integrated microgrids.
The concept of microgrids (MGs) as compact power systems, incorporating distributed energy resources, generating units, storage systems, and loads, is widely acknowledged in the
In an era where energy efficiency and sustainability are paramount, smart grid energy storage systems have emerged as a cornerstone of modern energy infrastructure. These systems
The integration of ESS into MG can substantially enhance the penetration of renewable energy and promote energy-efficient utilisation. The flexibility offered by ESS plays a pivotal role in
Smart microgrids harness modern technologies to improve efficiency in creating, storing and delivering power throughout the grid. Integrating improved storage options allows smart
Mathematical Model of Microgrid delineates equations for energy generation, storage, and trading, emphasizing the integration of renewable energy sources, electric vehicles, and demand
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