Artificial Intelligence-Based Soft-Charging Dual Boost Control: PSO-Tuned Reactive Power Compensation for Reliability and Maintenance in Medium Voltage Unbalanced Grid Networks

The Proposed Artificial Intelligence (AI) based Soft Charging Double Boost-Modified Dual Controller (SCDB-MDC) is designed with current controllers which are intended to regulate the flow of electricity between the grid and Distributed Generator (DG) units. To regulate the voltage of the DC-link in the Soft Charging-MDC unit, which should be an additional responsibility of injecting electricity into the grid network, a fuzzy-tuned AI controller based on Particle Swarm Optimization (PSO) is presented. Magnitudes of line currents would reach higher values than the nominal values during unbalanced which is the main drawback of the conventional Dual Vector Current Control (DVCC). MDC is proposed with a line current limiter for parallel inverters. Grid currents would reach higher values during such disturbances are prevented by modifying current reference calculation in the proposed controller. This work demonstrates the effectiveness of SCDB-MDC in maintaining operational reliability and facilitating robust power management in medium-voltage unbalanced grid networks.