Optimal Controller Tuning for P&O Maximum Power Point Tracking of PV Systems using PSO Algorithm

Abstract

Energy production and transmission have had to increase ruthlessly in recent years due to resource and environmental constraints, while demand for electric power has surged significantly. As a result of several transmission lines being substantially loaded, power system stability became a limiting factor in electric power transmission. It's vital to keep the electrical grid safe and stable. Thus, it's not a simple assignment. The FACTs devices are used to manage power and attenuate oscillations. This study explains how to use Matlab Simulink to benefit from the modified particle swarm optimization (PSO) approach to stabilize MPPT with UPFC by employing the PI-C and MATLAB Simulink parameters that build optimal proportional-integral controllers. When a power system failure occurs, the UPFC investigates by emulating the power system's operating characteristics using the two recommended approaches. Compared to existing techniques, the proposed PSO technicality improves the system's reactivity and reduces the amount of undershoot and overshoot in transitions. The results suggest that using this strategy significantly enhanced the simulation model's transient stability.