A fuzzy-based dual-port virtual inertia controller for enhancing dynamic performance in hybrid microgrids

• A dual-port normalized AC/DC virtual inertia controller for an interlinking converter is proposed. • Eigenvalue analysis of the HMG’s small-signal model is presented to investigate the interation between the three dynamic metrics. • A two-layer fuzzy adaptive algorithm is proposed to dynamically regulate the inertia coefficients. In hybrid microgrids (HMGs), reduced deviations and global power sharing can be expected by utilizing the interlinking converters (ILCs). However, the HMGs struggle to manage an optimal inertial response by interconnecting multiple AC/DC microgrids with the distinctive inertia requirements. Therefore, a dual-port virtual inertia controller is proposed in this paper by introducing normalized AC/DC inertia in ILCs. In order to transfer the virtual inertia without sacrificing the settling time and damping performance, a two-layer fuzzy logic incorporating a contraction factor is utilized to adjust the value of virtual inertia adaptively. The fuzzy logic is designed based on the constraints of power rating, damping ratio, settling time, and AC/DC microgrids inertia requirements, using a small-signal model of the HMGs. The proposed controller is validated under diverse operational conditions using a StarSim hardware-in-the-loop (HIL) experimental platform.