• DocumentCode
    170579
  • Title

    Cloud computing in electric vehicles charging control and dispatch optimization

  • Author

    Dan Wu ; Bo Liu ; Zhijian Chen ; Wenyan Xie ; Xiang Huang ; Shuwei Pei ; Bin Sheng ; Donghan Feng

  • Author_Institution
    Inf. Center, China Southern Power Grid Co., Ltd., Guangzhou, China
  • fYear
    2014
  • fDate
    16-18 May 2014
  • Firstpage
    597
  • Lastpage
    600
  • Abstract
    Charging of large-scale electric vehicles will have a significant impact on the grid so that their charging schedule needs to be optimized. The traditional centralized scheduling method requires high performance in information exchange and computing. Based on the analysis of the features of electric vehicle charging load and the research of cloud computing, we propose a cloud computing based schedule platform for optimal charging of electric vehicles. In addition, the function and implementation of the three basic modules of the platform (the data collection module, the cloud computing center and the control center) are exposed. The platform performs well in optimal scheduling for electric vehicles. In addition, the platform can also make full use of the computing resource and reduce the communication congestion.
  • Keywords
    cloud computing; electric vehicles; power engineering computing; scheduling; centralized scheduling method; charging scheduling; cloud computing based schedule platform; cloud computing center; communication congestion reduction; control center; data collection module; dispatch optimization; electric vehicles charging control; information exchange; optimal charging; optimal scheduling; Cloud computing; Electric vehicles; Optimal scheduling; Power grids; cloud computing; electric vehicle; optimal charging; service platform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-2033-4
  • Type

    conf

  • DOI
    10.1109/PIC.2014.6972404
  • Filename
    6972404