A Deferrable Energy Scheduling Algorithm in Smart Grid Distribution

被引：0
|
作者：
Jingcheng Gao
Yang Xiao
Shuhui Li
机构：
[1] Nanjing University of Information Science and Technology,School of Computer and Software
[2] The University of Alabama,Department of Computer Science
[3] The University of Alabama,Electrical and Computer Engineering
来源：
Mobile Networks and Applications | 2018年 / 23卷
关键词：
Demand response; Real-time pricing; Energy consumption scheduling; Total cost minimization; Neighborhood area network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We consider a real-time demand response system in smart grid distribution to solve real-time pricing’s (RTP) total cost minimization problem. This problem has not yet to be discussed especially at the level of neighborhood area networks. While the available RTP-alike schemes are too stand-alone to solve all the problems systematically, this paper proposes a mathematical energy scheduling model for RTP demand response, and based on which, a distributed scheduling algorithm of energy consumption for total cost minimization is proposed. Simulations are conducted to find the minimum total cost under different sets of parameters.
引用
收藏
页码：896 / 911
页数：15
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