Optimal Tuning of Fractional Order Controllers for Dual Active Bridge-Based DC Microgrid Including Voltage Stability Assessment

In this article, three evolutionary search algorithms: particle swarm optimization (PSO), simulated annealing (SA) and genetic algorithms (GA), have been employed to determine the optimal parameter values of fractional-order (FO)-PI controllers implemented in dual active bridge-based (DAB) DC microgrid. The optimum strategy obtain parameters these FO-PI is still a major challenge for many power systems applications. DAB are used control link voltage desired value limit current flowing through converter. Accordingly, investigated system has six be tuned simultaneously; Kp1, Ki1, λ1 controller Kp2, Ki2, λ2 controller. Crucially, tuning process developed enhance stability By observing frequency-domain analysis closed-loop results subsequent time-domain simulations, it demonstrated that provided gains, which ensures main contribution article can considered successful application tune FO-based loop microgrid scheme whose conditioner topology.