Scheduling Schedulable Energy in Smart Grid

Jingcheng Gao; Yang Xiao; Shuhui Li

The 1st EAI International Conference on Smart Grid Assisted Internet of Things

Research Article

Scheduling Schedulable Energy in Smart Grid

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.7-8-2017.152987,
    author={Jingcheng Gao and Yang Xiao and Shuhui Li},
    title={Scheduling Schedulable Energy in Smart Grid},
    proceedings={The 1st EAI International Conference on Smart Grid Assisted Internet of Things},
    publisher={EAI},
    proceedings_a={SGIOT},
    year={2017},
    month={8},
    keywords={Demand response real-time pricing energy consumption scheduling total cost minimization neighborhood area network},
    doi={10.4108/eai.7-8-2017.152987}
}

Jingcheng Gao
Yang Xiao
Shuhui Li
Year: 2017
Scheduling Schedulable Energy in Smart Grid
SGIOT
EAI
DOI: 10.4108/eai.7-8-2017.152987

Jingcheng Gao¹^,*, Yang Xiao¹, Shuhui Li²

1: Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487-0290, USA
2: Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487-0286 USA

*Contact email: jgao5@crimson.ua.edu

Abstract

Real-time pricing’s total cost minimization problem is studied in this paper at a neighborhood area network level in smart grid. We propose a mathematical energy scheduling model for real-time pricing demand response, and based on which, a distributed energy consumption scheduling algorithm for total cost minimization is proposed.

Keywords: Demand response real-time pricing energy consumption scheduling total cost minimization neighborhood area network

Published: 2017-08-07
Publisher: EAI

: http://dx.doi.org/10.4108/eai.7-8-2017.152987