Exact and Heuristic Methods for Energy ...
Document type :
Pré-publication ou Document de travail
Title :
Exact and Heuristic Methods for Energy Pricing Problem
Author(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]
English keyword(s) :
day-ahead pricing
smart grid
demand response
bilevel programming
peak minimization
heuristic algorithms
smart grid
demand response
bilevel programming
peak minimization
heuristic algorithms
HAL domain(s) :
Mathématiques [math]/Optimisation et contrôle [math.OC]
Sciences de l'ingénieur [physics]/Energie électrique
Sciences de l'ingénieur [physics]/Energie électrique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
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