This paper aims to provide a comprehensive analysis of recent research on microgrid hierarchical control, specifically focusing on the control schemes and the application of machine learning (ML) techniques. . High penetration of Renewable Energy Resources (RESs) introduces numerous challenges into the Microgrids (MG), such as supply–demand imbalance, non-linear loads, voltage instability, etc. Hence, to address these issues, an effective control system is essential. In the event of disturbances, the microgrid disconnects from the. . A microgrid is a small power generation system composed of distributed power sources, energy storage devices capable of bidirectional transmission, efficient energy conversion equipment, associated loads, and monitoring and protection equipment for the operation [7]. 15 minutes, with the goal of minimizing microgrid's operating costs.
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