Achieving an optimal trade-off between revenue and energy peak within a smart grid environment

被引：21
|
作者：
Afsar, Sezin [1 ]
Brotcorne, Luce [1 ]
Marcotte, Patrice [2 ]
Savard, Gilles [3 ]
机构：
[1] Inria Lille Nord Europe, Team Dolphin, 40 Ave Halley, F-59650 Villeneuve Dascq, France
[2] Univ Montreal, DIRO, CP 6128,Succursale Ctr Ville, Montreal, PQ H3C 3J7, Canada
[3] Ecole Polytech, Dept Math & Genie Ind, CP 6079,Succursale Ctr Ville, Montreal, PQ H3C 3A7, Canada
来源：
RENEWABLE ENERGY | 2016年 / 91卷
关键词：
Demand response; Smart grid; Day-ahead pricing; Demand side management; Bilevel programming; Peak minimization; DEMAND-SIDE MANAGEMENT; BILEVEL MODEL; ALGORITHM; SYSTEMS;
D O I：
10.1016/j.renene.2016.01.055
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this paper, we consider an energy provider whose goal is to simultaneously set revenue-maximizing prices and meet a peak load constraint. The problem is cast within a bilevel setting where 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 actions on the hourly prices set by the leader, as well as the preference schedules set by the users for each task. We consider both the monopolistic and competitive situations, and validate numerically the potential of this approach to achieve an 'optimal' trade-off between three conflicting objectives: revenue, user cost and peak demand. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：293 / 301
页数：9
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