Modeling and Simulation Of Transformer-less Grid Connected Photovoltaic System With Artificial Neural Network Based Power Converter

Abstract

This paper describes a novel transformer less  grid connected  ANN based power  converter  with  negative grounding for a photovoltaic generation system. The negative terminal of the solar cell array can be directly connected to the ground in the proposed grid-connected power converter to avoid the transparent conducting oxide corrosion that occurs in some types of thin-film solar cell array.   The   proposed   grid-connected   power converter consists of a dc–dc power converter and a dc–ac inverter. The salient features of the proposed power converter are that some power electronic switches are simultaneously used in both the dc–dc power converter and dc–ac inverter, and only two power electronic switches operate at high switching frequency at the same time (one is in the dc–dc power converter and the other is in the dc–ac inverter). The leakage current of the photovoltaic generation system  is reduced because the negative terminal of the solar cell array is connected directly to the ground. Finally, a prototype was developed to verify the performance of the proposed grid- connected power converter.  Performance of the proposed ANN based grid-connected power converter is verified using MATLAB/SIMULINK.