INFLUENCE DE LA FRÉQUENCE D'ÉCHANTILLONNAGE SUR DIFFÉRENTES COMMANDES DE SUIVI DU POINT DE PUISSANCE MAXIMALE
DOI :
https://doi.org/10.59277/RRST-EE.2023.68.1.2Mots-clés :
Réseaux de neurones intelligents, Taux d'échantillonnage de fréquence, Lissage du signal de puissance, Faible taux d'ondulation, Suivi du point de puissance maximale photovoltaïque (MPPT), Système photovoltaïque (PV)Résumé
Le présent travail poursuit l'article précédent publié dans l'International Journal of Energy (Elsevier, 2019). Notre étude précédente visait à développer une méthode nouvelle et innovante basée sur des algorithmes de réseaux de neurones pour prédire une commande instantanée. Une nouvelle stratégie de contrôle pour les systèmes photovoltaïques a été présentée dans [1]. Cette commande est basée sur la technique du réseau neuronal (NN). A notre connaissance, cette technique n'a jamais été utilisée dans ce domaine pour cet objectif. Les auteurs de ce travail l'ont utilisé pour synthétiser des lois de commande pour les convertisseurs électroniques de puissance.
Il convient de noter que l'algorithme nouvellement conçu basé sur les réseaux de neurones devrait être plus robuste avec de bonnes performances en termes de vitesse et de précision de suivi. De plus, le présent travail de recherche vise à fournir une structure neuronale robuste contre des données empiriques bruitées, permettant ainsi la prédiction d'une nouvelle commande. En effet, dans le présent travail, nous examinerons les paramètres affectant quatre contrôles MPPT en plus du nouvel algorithme basé sur le réseau de neurones développé dans [1].
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