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A fuzzy inference model for distributed secondary control of islanded microgrids

In this paper a fuzzy logic-based distributed secondary control is introduced for islanded microgrids. Inspired by techniques from cooperative control, the presented controllers use local information and neighbor communication to perform secondary control actions. Consensus protocols are used for regulating voltage and sharing the active and reactive power. To tune the communication weights used in the consensus-based distributed framework, a smart fuzzy logic-based method is presented. The presented method estimates the appropriate amount of communication weights according to the fuzzy states, and relation between inputs and outputs considering stability criteria. A microgrid with three sources is used to verify the effectiveness of the proposed contribution. MATLAB/SIMULINK® is used for modelling and simulation of the system.