Robust and Optimal Maximum Power Point Tracking Control of Solar PV Power System

This paper presents a new robust and optimal Hybrid technique for maximum power point tracking of the photovoltaic systems. The proposed hybrid scheme is composed of two well-known techniques, namely Perturb and Observe and Model Predictive Control methods, which are separately being used for detecting and tracking the maximum power point (MPP) of a solar panel system. The suggested system is efficient, robust, and stable because of its hybrid nature, as it combines the benefits of both the parent techniques. The technique is implemented with a DC-DC Buck converter, which is utilized for low power application systems. This technique targets to enhance the productivity of the PV systems by tracking the MPP under optimized and controlled conditions. The system is verified by simulations and analyzed under different conditions for measurement of the efficiency. The results obtained after testing the system indicate that the efficiency of the new technique is better than the previous techniques, and the system is stable, controlled, optimized, and cost-effective.