• DocumentCode
    694448
  • Title

    Status monitoring and early warning system for power distribution network based on IoT technology

  • Author

    Ou Qing-Hai ; Wang Zheng ; Zhen Yan ; Li Xiang-Zhen ; Zhou Si

  • Author_Institution
    Inf. Commun. R&D Center, NARI Group Corp., Beijing, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    641
  • Lastpage
    645
  • Abstract
    The Internet of Things (IoT) technology plays an important role in the construction of the smart grid. With the development of the smart grid, the IoT technology has been deepening and extending its applications in the power system. In this background, this paper first introduces the latest progress of IoT technology and the architecture of the power IoT, and then proposes a status monitoring and early warning system for the power distribution network based on the IoT technology. The key technologies and the functions of the system as well as its application in the power distribution network are also described in this paper. The system can be used to display a panoramic view of all the equipment in the distribution network and to realize function such as equipment status, environment and anti-theft on-line monitoring as well as comprehensive analysis and inquiry. The system well demonstrates the State Grid Corporation´s concept on power IoT system design and application.
  • Keywords
    Internet of Things; alarm systems; condition monitoring; distribution networks; power system measurement; smart power grids; Internet of Things; IoT technology; anti-theft online monitoring; early warning system; equipment status; power IoT system design; power distribution network; smart grid; status monitoring; Monitoring; Protocols; Smart grids; Temperature sensors; Wireless communication; Wireless sensor networks; Internet of Things; Smart grid; power distribution network; status monitoring and early warning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967194
  • Filename
    6967194