• DocumentCode
    644059
  • Title

    Design and Implementation of Interactive Visualization Platform of Real-time Grid Status Cognition

  • Author

    Xiaomei Liu ; Peng Sun ; Guiying Zhu ; Hong Zhang ; Zijian Yan ; Yi Zhang

  • Author_Institution
    Electr. Power Autom. Res. Inst., China Electr. Power Res. Inst., Nanjing, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    243
  • Lastpage
    246
  • Abstract
    The development of smart grid has proposed higher request to the intelligent dispatching in power construction. To meet these requirements, in the basis of the full research on dispatchers´ actual habits, this paper proposed the use of the existing power grid analysis theory to establish power grid running status indicators and the novel hierarchical display frame design, which combines with visualization technologies. Based on this, it has built the interactive visual platform of real-time power grid status cognition, which shown the six grid cognitive information excellently and visualized early warning of internal risk equipment and external meteorological risk. It has greatly improved dispatchers´ emergency treatment level and promoted the development of intelligent dispatching.
  • Keywords
    cognitive systems; interactive systems; load dispatching; power apparatus; power engineering computing; smart power grids; display frame design; early warning visualization; emergency treatment level; external meteorological risk; intelligent dispatching; interactive visualization platform; internal risk equipment; power construction; power grid analysis theory; power grid running status indicator; real-time smart power grid status cognitive information; Cognition; Data visualization; Power grids; Real-time systems; Rendering (computer graphics); Visualization; meteorological risk; one-touch; risk equipment; status cognition; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling Symposium (AMS), 2013 7th Asia
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/AMS.2013.44
  • Filename
    6664701