Efficient energy-storage management is critical for enhancing the reliability and sustainability of hybrid microgrid systems. This study examines the influence of neuron number in a
The integration of autonomous robots with intelligent electrical systems introduces complex energy management challenges, particularly as microgrids increasingly incorporate
Reconfigurable DC and AC microgrids with advanced informatics, cyber security, and nonlinear power control architectures.
The paper first starts by presenting the conventional control system of microgrids and their energy management, along with the basics of AI tools and techniques. Then, the features and
Experiments demonstrate the revolutionary potential of AI to control microgrids.
The transition to decentralized microgrids offers new opportunities for energy efficiency, with AI playing a critical role in managing these systems. Yet additional efforts are needed for
With a focus on their technological advantages, possible uses and control mechanisms, this review evaluates the emerging role of DC microgrids as a viable substitute for conventional AC
The likelihood of individual microgrid stability criteria being met is increased by interconnected microgrids. Therefore, self-sustaining smart grid technology is necessary to decrease
To address the challenges of these increasingly complex systems, this paper reviews the application of artificial intelligence (AI) in the hierarchical control structures of ac, dc, and hybrid ac/dc
The concept of microgrids (MGs) as compact power systems, incorporating distributed energy resources, generating units, storage systems, and loads, is widely acknowledged in the
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