Abstract
Energy production schemes are subject to a constant scientific and technological revolution due to fluctuating social, economic, and political changes. The integration of new ways of power generation, electrical and electronic elements that consume the power generated and require specific energy quality policies, electric vehicles, energy efficiency, energy management, architecture reliability, bidirectional communication, and resilience are some challenges control strategies face. Technology and science have supported and faced this challenge in energy production schemes, especially in intelligent electrical microgrids. This article presents a comprehensive review of the state of the art of artificial intelligence techniques that are applied to face the various challenges of operation, control, and coordination in a Smart Electric Microgrid (SEM). In particular, how artificial intelligence develops and faces challenges in central areas in an SEM architecture.
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