An Intelligent Optimized MPPT Controller for PV Application with Efficient DC-DC Boost Converter

In this study, a gray wolf optimization tuned Maximum Power Point Tracking (MPPT) algorithm with a LUO boost converter is proposed for a solar integrated grid system. The LUO converter under positive output self-lift topology has a good performance in voltage lifting. The PV module parameters such as current and voltage are given as the input to the MPPT controller optimized using gray wolf optimization algorithm. It finds the new duty cycle for the converter so that, it can be operated to any operating condition to attain the maximum power. The design and simulations are done in MATLAB/simulation tool and the performance is tested in grid connected and standalone operations. The simulation results showed a fast response and efficient tracking performance of the proposed MPPT LUO convertere.