This article provides a comprehensive review of advanced control strategies for power electronics in microgrid applications, focusing on hierarchical control, droop control, model predictive control (MPC), adaptive control, and artificial intelligence (AI)-based techniques. Microgrids (MGs) technologies, with their advanced control techniques and real-time monitoring systems, provide users with attractive benefits including enhanced power quality, stability, sustainability, and environmentally friendly energy. As a result of continuous technological development. A microgrids is defined as “low-voltage and/or medium-voltage grids fitted with additional installations able to manage their supply independently, optionally also in the case of islanding”. A MG must meet four conditions: (a) integrate distributed energy resources and loads, (b) be capable of. NLR develops and evaluates microgrid controls at multiple time scales.
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