ETUDE COMPARATIVE ENTRE LES ALGORITHMES P&O ET INC POUR LA COMMANDE MPPT D’UN SYSTEME PHOTOVOLTAÏQUE
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
centre universitaire Salhi Ahmed Naama
Abstract
The power generated by a photovoltaic (PV) generator depends on various factors such as solar
radiation intensity, cell temperature, and other parameters. Due to the non-linear electrical
characteristics of PV cells and their configurations, the performance of the system can be
enhanced through the use of PV-based Maximum Power Point Tracking (MPPT) methods. Two
commonly employed MPPT techniques are the perturbation and observation (P&O) method
and the Incremental Conductance (IncCond) technique. This thesis aims to conduct a
comparative analysis of different MPPT techniques to assess and simulate the overall power of
the PV system under different operating conditions. Mathematical models of the PV system
components (GPV, DC-DC converter, load) were developed for this purpose. Simulation results
obtained using the Matlab Simulink tool indicated that, overall, the IncCond technique
outperforms the P&O MPPT controller
Description
Keywords
PV, Boost converter, MPPT command, Modelisation, Simulation
