Soft Computing Based Hybrid MPPT for Grid Connected Photovoltaic System

This study proposes a grid-connected photovoltaic (PV) system consisting of a direct current (DC) - direct current (DC) boost converter and voltage source inverter (VSI). Different maximum power extraction techniques was used to obtain the greatest possible power produced by a solar photovoltaic (PV) system. The perturb and observe (P&O), BAT and a novel hybrid combination of BAT-PO chosen as the power tracking technique. The output voltage of the boost converter was regulated and synchronized with a 100 kW PV system to the grid. To increase the PV system's performance, a suitable duty ratio required for the boost converter was tuned effectively by implementing a novel hybrid MPPT technique, that is, BAT-PO algorithm. In addition, the current control technique is implemented in a voltage source inverter to minimize the grid current's harmonics. Maximum power, efficiency, and THD are the indicators used to assess the performance of MPPT algorithms. The proposed system was implemented and tested in MATLAB/Simulink using various MPPT techniques. Among the chosen MPPT algorithms, In terms of maximum power (93.9kW) and THD (0.32%), the BAT-PO hybrid MPPT algorithm performed significantly better than the competition. The major goals of this study are to maximize power and minimize THD.