Centralized Secondary Microgrid Controller Based on Smith Predictor and Fuzzy Logic to Address Communication Delay Uncertainties

This paper presents a novel solution for addressing delay issues in islanded microgrids through a centralized secondary control based on the Smith predictor, enhanced with an intelligence fuzzy logic block. The fuzzy logic block serves as an artificial intelligence tool that, estimate the delay in the system and feeds it to the Smith predictor. This innovative approach allows the controller to effectively handle both fixed and variable delays, thereby improving the overall stability and dynamic response of the microgrid. By adapting its parameters based on the estimated delay, the controller ensures the reliable operation of the microgrid, enabling a rapid restoration of frequency and voltage for optimal power sharing. Different case studies are conducted to validate the significant enhancements achieved through the integration of the proposed intelligence control system.