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

Research Article

Scheduling Schedulable Energy in Smart Grid

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  • @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.