RÉSOLUTION DU PROBLÈME COMBINÉ DE RÉPARTITION ÉCONOMIQUE ET DES ÉMISSIONS À L'AIDE D'UN RÉSEAU NEURONAL DYNAMIQUE À UNE COUCHE
DOI :
https://doi.org/10.59277/RRST-EE.2026.2.2Mots-clés :
Répartition économique de la charge (ELD), Réseau neuronal dynamique (DNN), Production d'énergie, Optimisation des coûtsRésumé
Dans cet article, un réseau de neurones dynamique à une seule couche (OL-DNN) est proposé pour trouver des solutions optimales aux problèmes de répartition économique et d'émissions combinées (CEED). L'objectif du problème CEED est de planifier la production des générateurs afin de satisfaire la demande et de respecter les contraintes opérationnelles, tout en minimisant les coûts de combustible et les émissions. Les objectifs de coût du combustible et d'émissions des unités de production sont pris en compte lors de la formulation du problème CEED, ce qui passe d'un problème multi-objectif à un problème bi-objectif. Cette transformation s'effectue en appliquant un facteur de pénalité de prix. Le nouvel algorithme est appliqué et testé sur trois exemples issus de la littérature, puis la solution obtenue est comparée à celles d'autres algorithmes afin de démontrer sa supériorité et son efficacité.
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