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Technologies avancées pour l'optimisation du réseau électrique à l'aide de l'internet des objets (IoT) et de l'intelligence artificielle (IA)
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ISBN10: 6209056709
ISBN13: 9786209056703
Publisher: Editions Notre Savoir
Published: Sep 28 2025
Pages: 68
Weight: 0.23
Height: 0.16 Width: 6.00 Depth: 9.00
Language: French
ISBN13: 9786209056703
Publisher: Editions Notre Savoir
Published: Sep 28 2025
Pages: 68
Weight: 0.23
Height: 0.16 Width: 6.00 Depth: 9.00
Language: French
Ce travail présente une méthode pour optimiser la performance des systèmes énergétiques en utilisant l'Internet des objets et l'intelligence artificielle. La méthode détecte automatiquement les chutes de tension. La correction des défauts est effectuée automatiquement en temps réel en reconfigurant et en recombinant automatiquement les interrupteurs dans l'ensemble du système. Cette technique offre un moyen facile de superviser les réseaux électriques à l'aide de dispositifs SCADA. Des algorithmes d'optimisation adaptative par essaim particulaire (APSO) sont proposés pour évaluer les pertes de puissance et les chutes de tension (PLVD) sur le système de distribution radial (RDS). Le test IEEE 33 bus standard est utilisé pour étudier la qualité de l'énergie du système proposé. Trois emplacements appropriés pour l'injection de sources distribuées photovoltaïques (PDS) sont déterminés sur la base de la réduction des pertes de puissance et de l'indice de tension. Le système rectifie les défauts tels que la déviation du facteur de puissance (PFD) ou l'ombrage partiel des cellules solaires en reconfigurant et en recombinant automatiquement les branches du système radial à 33 bus. Une optimisation adaptative par essaim particulaire (APSO) a permis d'améliorer le profil de puissance et a démontré la fiabilité de la méthode proposée.
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