Enhanced voltage regulation for microgrids with battery charger/ discharger using fractional order predictive-proportional integral controller

This paper discusses the difficulty of controlling the direct current bus voltage in direct current microgrids with a battery storage system, particularly under varying battery charge and discharge conditions. The primary issue lies in efficiently managing the voltage regulation while considering the complex relationships between battery and bus voltages. This manuscript proposes a novel approach for enhancing voltage regulation in direct current microgrids with battery charger/discharger using a Fractional-Order Predictive and proportional-integral controller. This paper's novelty is found in an innovation of Improved Mother Optimization is used to optimize the gain parameters of the Fractional-Order Predictive and proportional-integral controller and Finite Basis Physics Informed Neural Networks is utilized to forecast the voltage regulation of the battery. The main objective of this proposed method is to minimize and reduce convergence time and voltage overshoot, while guaranteeing precise voltage regulation and current sharing. By then, the results are calculated using the present procedure and the proposed strategy is implemented on the MATLAB working platform. The proposed strategy produces better findings in all existing methods like Dynamic Diffusion Algorithm, Improved Seeker Optimization, and Artificial Rabbits Algorithm, Specifically, the proposed strategy achieved the fastest convergence times for current sharing and voltage regulation at 0.2 and 0.3 s, while the existing methods required longer convergence times at 0.3 and 0.5 s, 0.4 and 0.9 s, and 0.5 and 0.11 s. Despite a slightly higher voltage overshoot of 1.8 V compared to the existing methods, 1.6 V, 1.4 V, and 1.2 V, the proposed method demonstrates the most efficient stabilization with lower costs. This work introduces a novel optimization and forecasting approach to direct current microgrid voltage regulation, outperforming existing methods in convergence speed and costeffectiveness while balancing voltage stability.