Achieving an optimal trade-off between ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Achieving an optimal trade-off between revenue and energy peak within a smart grid environment
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]
Titre de la revue :
Renewable Energy
Pagination :
293-301
Éditeur :
Elsevier
Date de publication :
2016-06
ISSN :
0960-1481
Mot(s)-clé(s) en anglais :
smart grid
demand response
day-ahead pricing
bilevel programming
peak minimization
demand side management
demand response
day-ahead pricing
bilevel programming
peak minimization
demand side management
Discipline(s) HAL :
Mathématiques [math]/Optimisation et contrôle [math.OC]
Sciences de l'ingénieur [physics]/Energie électrique
Computer Science [cs]/Operations Research [math.OC]
Sciences de l'ingénieur [physics]/Energie électrique
Computer Science [cs]/Operations Research [math.OC]
Résumé en anglais : [en]
We consider an energy provider whose goal is to simultaneously set revenue-maximizing prices and meet a peak load constraint. In our bilevel setting, the provider acts as a leader (upper level) that takes into account a ...
Lire la suite >We consider an energy provider whose goal is to simultaneously set revenue-maximizing prices and meet a peak load constraint. In our bilevel setting, the provider acts as a leader (upper level) that takes into account a smart grid (lower level) that minimizes the sum of users' disutilities. The latter bases its decisions on the hourly prices set by the leader, as well as the schedule preferences set by the users for each task. Considering both the monopolistic and competitive situations, we illustrate numerically the validity of the approach, which achieves an 'optimal' trade-off between three objectives: revenue, user cost, and peak demand.Lire moins >
Lire la suite >We consider an energy provider whose goal is to simultaneously set revenue-maximizing prices and meet a peak load constraint. In our bilevel setting, the provider acts as a leader (upper level) that takes into account a smart grid (lower level) that minimizes the sum of users' disutilities. The latter bases its decisions on the hourly prices set by the leader, as well as the schedule preferences set by the users for each task. Considering both the monopolistic and competitive situations, we illustrate numerically the validity of the approach, which achieves an 'optimal' trade-off between three objectives: revenue, user cost, and peak demand.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
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- http://arxiv.org/pdf/1601.05678
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- 1601.05678
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