| Titre : | Contribution à la commande d’un système de compensation de la puissance réactive alimenté par un générateur photovoltaïque |
| Auteurs : | Djallal Eddine ZABIA, Auteur ; okba kraa, Directeur de thèse |
| Type de document : | Monographie imprimée |
| Editeur : | Université Mohamed Khider, 2025 |
| Langues: | Anglais |
| Mots-clés: | Maximum Power Point Tracking (MPPT), Enhanced Eel-Grouper Optimization (EEGO), Partial Shading Conditions (PSC), Shunt Active Power Filter (SAPF) |
| Résumé : |
Photovoltaic (PV) systems under partial shading conditions (PSCs) exhibit complex power?voltage characteristics, reducing energy yield with conventional Maximum Power Point Tracking
(MPPT) methods like Perturb & Observe. This thesis presents a comprehensive framework to optimize PV performance and grid integration through advanced control and emulation strategies. The Enhanced Eel-Grouper Optimization (EEGO) algorithm, a novel metaheuristic MPPT approach, achieves near-optimal tracking efficiency (>99%) by swiftly identifying the global maximum power point across diverse shading scenarios. A dynamic restart mechanism ensures reliable adaptation to sudden environmental changes, enhancing system stability. A cost-effective PV emulator, built around a DC programmable source (GW Instek APS-1102A, 1000 W), accurately replicates PSC-induced I-V curves in a low-scale laboratory grid setup (500 W), enabling robust algorithm validation. An Real-Time MPPT framework, implemented on a dSPACE 1104 platform, dynamically adjusts control parameters to minimize fluctuations and support grid stability. To enhance power quality, a Shunt Active Power Filter (SAPF) with Predictive Direct Power Control (PDPC) reduces current Total Harmonic Distortion to below 5%, achieving near-unity power factor and compliance with IEEE 519-2022 standards under variable loads. Experimental validation using the dSPACE 1104 and DC programmable source demonstrates superior energy efficiency and grid compatibility. This framework advances PV system optimization, offering a scalable solution for sustainable energy integration in smart grid applications. |
| Type de document : | Thése doctorat |
Disponibilité (1)
| Cote | Support | Localisation | Statut | Emplacement | |
|---|---|---|---|---|---|
| Th/1438 | Livre | BIB.FAC.ST. | Empruntable | Magazin |
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