Exact and Heuristic Methods for Energy ...
Type de document :
Pré-publication ou Document de travail
Titre :
Exact and Heuristic Methods for Energy Pricing Problem
Auteur(s) :
Afsar, Sezin [Auteur correspondant]
Integrated Optimization with Complex Structure [INOCS]
Brotcorne, Luce [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Marcotte, Patrice [Auteur]
Laboratoire CIRRELT Université Laval Quebec [CIRRELT]
Savard, Gilles [Auteur]
Laboratoire CIRRELT Université Laval Quebec [CIRRELT]
Integrated Optimization with Complex Structure [INOCS]
Brotcorne, Luce [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Marcotte, Patrice [Auteur]
Laboratoire CIRRELT Université Laval Quebec [CIRRELT]
Savard, Gilles [Auteur]
Laboratoire CIRRELT Université Laval Quebec [CIRRELT]
Mot(s)-clé(s) en anglais :
day-ahead pricing
smart grid
demand response
bilevel programming
peak minimization
heuristic algorithms
smart grid
demand response
bilevel programming
peak minimization
heuristic algorithms
Discipline(s) HAL :
Mathématiques [math]/Optimisation et contrôle [math.OC]
Sciences de l'ingénieur [physics]/Energie électrique
Sciences de l'ingénieur [physics]/Energie électrique
Résumé en anglais : [en]
The dynamics between a peak-minimizing and revenue-maximizing energy provider and its disutility-minimizing customers are analyzed in a bilevel setting in this paper. Customers' demand is delivered to a smart grid which ...
Lire la suite >The dynamics between a peak-minimizing and revenue-maximizing energy provider and its disutility-minimizing customers are analyzed in a bilevel setting in this paper. Customers' demand is delivered to a smart grid which acts as the follower and the provider decides on the prices as the leader. Different models that are based on the types of appliances that customers own are presented and solved by exact and heuristic methods that are developed.Lire moins >
Lire la suite >The dynamics between a peak-minimizing and revenue-maximizing energy provider and its disutility-minimizing customers are analyzed in a bilevel setting in this paper. Customers' demand is delivered to a smart grid which acts as the follower and the provider decides on the prices as the leader. Different models that are based on the types of appliances that customers own are presented and solved by exact and heuristic methods that are developed.Lire moins >
Langue :
Anglais
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