This thesis work focuses on the study and implementation of Maximum Power Point Tracking (MPPT) algorithms applied to photovoltaic systems with the aim of establishing a hierarchical power conversion system. In this system, one converter is designed to transfer any given power, while the second must be capable of converting the remaining portion, all while avoiding cross-coupling. After a thorough examination of the Perturb and Observe (P&O) and Incremental Conductance (INC) methods, they were implemented using Simulink MATLAB models to validate their functionality.
Questo lavoro di tesi si concentra sullo studio e sull'implementazione degli algoritmi di Maximum Power Point Tracking (MPPT) applicati ai sistemi fotovoltaici con l'obiettivo di stabilire un sistema di conversione di potenza gerarchico. In questo sistema, un convertitore è progettato per trasferire una data potenza, mentre il secondo deve essere in grado di convertire la porzione restante, evitando il cross-coupling. Dopo un'attenta esame dei metodi Perturb and Observe (P&O) e Incremental Conductance (INC), sono stati implementati utilizzando modelli Simulink MATLAB per validare la loro funzionalità.
Contribution to the control of multiple MPPT converters sharing the same photovoltaic solar panel
DRANICER, ION
2023/2024
Abstract
This thesis work focuses on the study and implementation of Maximum Power Point Tracking (MPPT) algorithms applied to photovoltaic systems with the aim of establishing a hierarchical power conversion system. In this system, one converter is designed to transfer any given power, while the second must be capable of converting the remaining portion, all while avoiding cross-coupling. After a thorough examination of the Perturb and Observe (P&O) and Incremental Conductance (INC) methods, they were implemented using Simulink MATLAB models to validate their functionality.File | Dimensione | Formato | |
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Dranicer_Ion.pdf.pdf
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https://hdl.handle.net/20.500.12608/69402