Improving Dynamic Consensus Algorithm of AC Microgrid with Fuzzy Logic Control

Recently, consensus algorithms have been widely applied in microgrids due to their compatibility in different topologies. However, the algorithm is sensitive to the communication delay, thus affecting the system stability. To address this issue, a fuzzy logic controller based dynamic consensus algorithm is proposed in this work. Firstly, the impacts of the load change are discussed to design the rule of the fuzzy logic controller. Thereafter, a state-space model is built to analyze the system stability and to determine the controller parameters. Finally, MATLAB/Simulink based simulations are implemented to validate the effectiveness of the proposed control strategy.