• DocumentCode
    1791063
  • Title

    Research and Design of Quasi-Realtime Data Platform for Power Grid Enterprise

  • Author

    Gan Shan ; Yan Jingyi

  • Author_Institution
    Electr. Power Res. Inst., Guangdong Power Grid Corp., Guangzhou, China
  • fYear
    2014
  • fDate
    25-26 Oct. 2014
  • Firstpage
    456
  • Lastpage
    459
  • Abstract
    Based on the construction of the Quasi-Real time data platform, this paper expounds the platform research and design scheme, introduces the function of Quasi-Real time platform architecture, data architecture and deployment architecture in detail, and also do research deeply on the technology of component design and the comparison of deployment architecture. Practice has proved that, the design of quasi real time data platform this article proposed can establish a unified data model and view, provide sharing massive real-time / historical data service for inter-departmental, multi-disciplinary comprehensive application. Enterprise level analysis and decision support application based on the platform, is a good solution for the centralized management, sharing and utilization of data for power grid enterprise, and support the construction and development of smart grid.
  • Keywords
    data handling; data models; decision support systems; power system analysis computing; power system economics; smart power grids; data architecture; data utilization; decision support application; deployment architecture; design scheme; enterprise level analysis; interdepartmental comprehensive application; massive historical data service sharing; massive real-time data service sharing; multidisciplinary comprehensive application; platform research; power grid enterprise; quasi-real time data platform; smart grid development; unified data model; Architecture; Business; Computer architecture; Data acquisition; Data models; Power grids; Real-time systems; Power grid enterprise; Quasi-Real time; platform; real-time data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-6635-6
  • Type

    conf

  • DOI
    10.1109/ICICTA.2014.116
  • Filename
    7003579