Intelligent Control Design and Management of AC-Microgrid System

This paper presents the arithmetic optimization algorithm (AOA) to optimized the controller for an AC Microgrid (AC-MG) system. This paper employs the suggested technique to tuned the parameters of the PI controller for the renewable generation units. The suggested system consists of a Wind Energy System (WES), a DC-DC boost converter with maximum power point tracking to draw the most power from the WES, an Energy Storage System (ESS), a DC-DC buck boost converter, a DC-AC inverter, an LC filter, an induction motor (IM) with a single phase and an AC load varies over the time. The controller parameters for this system are tuned using the AOA, which is implemented in the MATLB Simulink software. If AC-MG is standalone or connected to the grid, the results are contrasted with those attained via designing the control system by using Cuckoo Search (CS), Gray Wolf Optimizer (GWO), and Particle Swarm Optimization (PSO) approaches for various test scenarios. The results of the simulation show that the designed PI controller based AOA tuning for handling AC-MG control has a high level of efficiency and superiority because it consistently delivers reliable, stabilized performance in test studies.