Industrial power load scheduling considering demand response

被引：54
作者：
Cui, Hongbo [1 ]
Zhou, Kaile [1 ,2 ,3 ]
机构：
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
[2] City Univ Hong Kong, Kowloon, Hong Kong, Peoples R China
[3] Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 230009, Anhui, Peoples R China
来源：
JOURNAL OF CLEANER PRODUCTION | 2018年 / 204卷
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Optimal load scheduling; Industrial power load; Demand response; Smart grid; SMART DISTRIBUTION-SYSTEMS; ENERGY MANAGEMENT SCHEME; TASK NETWORK FORMULATION; SIDE MANAGEMENT; MANUFACTURING SYSTEMS; RENEWABLE GENERATION; DESIGN; CONSUMPTION; MODEL; GRIDS;
D O I：
10.1016/j.jclepro.2018.08.270
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In the smart grid environment, demand response (DR) program has attracted considerable attention for industrial electricity consumers. There are many optimization problems involved in the DR programs especially the process of industrial power load scheduling. As a friendly interaction between utility companies and industrial electricity consumers, DR program plays an important role in smoothing the load curve, improving the reliability of the power grid and reducing the costs for electricity consumers. In this study, we first introduce some related concepts, including smart grid, Industrial Demand Response and the representations of the industrial production process. Then, the optimal scheduling models for industrial power load in the smart grid environment are presented, and the solving methods of the optimization models are discussed. Finally, the challenges are pointed out and discussed. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码：447 / 460
页数：14
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