Developing an RBFNN Maximum Power Point Tracking Algorithm for a Three-Phase Landsman PV-Grid Connection

In this study, we use an MPPT algorithm based on a Radial Basis Function Neural Network (RBFNN) to a 3 grid-connected PV system. Because of its strong voltage gain at low duty cycle, the DC-DC Landsman converter is used to boost the PV system's output voltage. Greatest power point tracking (MPPT) using a recurrent neural network (RNN) is presented to monitor the MPP of the solar PV panel and extract the maximum amount of energy from the sun. Total Harmonic Distortion (THD) is decreased and grid voltage is synchronised effectively with the help of a PI controller. With the help of MATLAB simulation, we have a look at the 1performance of the suggested model of a grid-connected PV system.