Litcius/Paper detail

A Multilevel Inverter for Grid-Connected Photovoltaic Systems Optimized by Genetic Algorithm

Wafa Boucheriette, A. Moussi, Raihane Mechgoug, Hani Benguesmia

2023Engineering Technology & Applied Science Research12 citationsDOIOpen Access PDF

Abstract

This article introduces a grid-connected photovoltaic (PV) source combined with a multi-level inverter. A converter five-level neutral point (NPC) can be used to integrate the PV power into the power grid with minimum harmonic distortions and high power capacity. If the output voltage of the PV generator varies significantly with solar radiation, the output voltage of the ripple must be fixed. For this reason, a regulation loop was used. In this study, we used a classical PI regulator. It is difficult to determine the PI controller transaction values, so Genetic Algorithm was used to optimize the PI controller parameters. The Matlab/Simulink simulation results show the better performance and efficiency of the PI controller optimized by the GA, in comparison to the stand-alone PI controller, regarding stability and accuracy, and the reduction of Total Harmonic Distortions (THD) of the current injected into the grid for any difference in solar radiation.

Topics & Concepts

Photovoltaic systemControl theory (sociology)InverterTotal harmonic distortionMaximum power point trackingController (irrigation)RippleComputer scienceMaximum power principlePID controllerHarmonicVoltageGenetic algorithmGrid-connected photovoltaic power systemEngineeringElectrical engineeringControl engineeringPhysicsControl (management)Temperature controlQuantum mechanicsAgronomyArtificial intelligenceBiologyMachine learningMultilevel Inverters and ConvertersPhotovoltaic System Optimization TechniquesMicrogrid Control and Optimization
A Multilevel Inverter for Grid-Connected Photovoltaic Systems Optimized by Genetic Algorithm | Litcius