Comparison Of Mppt Algorithms For Dc-Dc Boost Converter In Grid-Tied Photovoltaic Systems

Abstract

n unpredictable weather circumstances, a maximum power point tracking (MPPT) approach is critical for ensuring maximum photovoltaic (PV) out- put power is extracted. In this paper, we will com- pare the incremental conductance algorithm (IC), per- turb and observe (p&o), and fuzzy logic controller (FLC) as maximum power point tracking (MPPT) techniques. The three algorithms were used on a pho- tovoltaic energy conversion system that was linked to a grid. The suggested methodologies investigate the pho- tovoltaic (PV) system’s solar energy conversion perfor- mance under various irradiance and temperature cir- cumstances. Lastly, a performance comparison between IC, P O, and FLC has been performed, demonstrating the superiority of the fuzzy controller over the other ap- proaches. FLC converts photovoltaic electricity readily, reducing fluctuations, and it responds quickly to vari- ations in solar irradiation (the shading effect). The simulation results demonstrate that the controller us- ing fuzzy logic performs well, allowing the inverter to convert the electricity provided by the solar panels.