Design and Simulation of a Boost-Microinverter for Optimized Photovoltaic System Performancec

Abstract

Renewable energy sources are the most important type of energy since they are clean and do not affect the environment. Solar energy is a kind of renewable energy that is more popular than other sources. Photovoltaic (PV) systems use solar energy as a source of electricity. The main parts of any PV system are: PV panel, DC-DC converter with maximum power point tracking and a DC-AC inverter with an adequate control. The Photovoltaic system for this study comprises a boost converter, a full-bridge inverter and an LCL filter. The boost converter is controlled using the Maximum power point Tracking (MPPT) algorithm, while the inverter is controlled through a Sinusoidal Pulse Width Modulator (SPWM).This paper provides a comparison performance between perturbation and observation [P&O] and particle swarm optimization [PSO] algorithms to get MPP for PV system. When the irradiance changes, the micro-inverter adapts under partial conditions. The micro-inverter is designed by MATLAB / Simulink/2020a software. The input maximum voltage from the PV is 80V direct current (DC) while alternating current [Ac] output voltage is 110 Vrms. The output voltage and current total harmonic distortion (THD) ratios are 2.58% and 2.76% respectively when the P&O algorithm is used , while that when using the PSO algorithm are 2.45% and 2.58%.The PV system efficiency achieved by using P&O, PSO are 95.7%, 96.8%.