Optimised coordinated control of hybrid AC/DC microgrids along PV-wind-battery: a hybrid based model

Abstract

This work presents a novel coordinated control approach for an MG with hybrid AC/DC loads and energy resources. As a result, power interactions between the DC and AC subgrids are appropriately enabled by distributing power fluctuations in a coordinated manner. Initially, a coordinated control scheme of distributed converters was presented. Then, a model predictive power and voltage control (MPPVC) technique is used for DC/AC interlinking converter that offers high-quality voltages and guarantees the optimal power transfer amongst ac and dc sub-grids. This paper aims to enhance the control structure of the energy storage system (ESS), where the optimised PI controller is insisted. Particularly, the gain of PI controller is optimally tuned by a new hybrid algorithm named as index-based fly-rider combined model (IF-RM) that incorporates both the concepts of rider optimisation algorithm (ROA) and firefly algorithm (FF). Finally, the betterment of the proposed work was validated over other existing models.