To meet the increasing demand for electricity, it is necessary to use both conventional and unconventional power sources. One type of Renewable Energy Source that turns solar radiation into electricity is a PV system. However, a combination of low irradiance and bad weather prevents installed Photovoltaic (PV) sources from being used to their maximum capacity. PV systems connected to the utility grid supply power to the grid or receive power from the grid depending on the demand and availability of solar energy. A significance, this research offers an MPPT technique based on ANN to acquire PV power quickly and to the maximum amount possible with zero oscillation tracking. Moreover, a modified SEPIC converter is used to increase the voltage from PV reduced switch 21 level Multi Level Inverter (MLI) changes the DC output of PV modules into alternating current with an increased number of output levels that is compatible with the grid. A chaotic Particle Swarm Optimization (PSO) Proportional Resonant (PR) controller is used to control MLI efficiently, leading to improved AC supply and efficient grid synchronization. MATLAB validation demonstrates the intended system’s performance, which reveals enhanced converter efficiency with a lower Total Harmonic Distortion (THD) in contrast to state-of-the-art techniques. © 2024 Elsevier B.V., All rights reserved.