• DocumentCode
    2646144
  • Title

    New methods for the visualization of electric power system information

  • Author

    Overbye, Thomas J. ; Weber, Jamie D.

  • Author_Institution
    Illinois Univ., Urbana, IL, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    131
  • Abstract
    One area in need of new research in information visualization is the operation and analysis of large-scale electric power systems. In analyzing power systems, one is usually confronted with a large amount of multivariate data. With systems containing tens of thousands of electrical nodes (buses), a key challenge is to present this data in a form so the user can assess the state of the system in an intuitive and quick manner. This is particularly true when trying to analyze relationships between actual network power flows, the scheduled power flows, and the capacity of the transmission system. With electric industry restructuring and the move towards having a single entity, such as an independent system operator or pool, operate a much larger system, this need has become more acute. This paper presents several power system visualization techniques to help in this task. These techniques include animation of power system flow values, contouring of bus and transmission line flow values, data aggregation techniques and interactive 3D data visualization
  • Keywords
    computer animation; data visualisation; electricity supply industry; power system analysis computing; data aggregation; electric industry restructuring; electric power system information visualization; electrical nodes; interactive 3D data visualization; large-scale electric power systems; multivariate data; network power flows; power system flow animation; transmission system capacity; Animation; Data visualization; Industrial relations; Information analysis; Job shop scheduling; Large-scale systems; Load flow; Power system analysis computing; Power systems; Power transmission lines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualization, 2000. InfoVis 2000. IEEE Symposium on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1522-404X
  • Print_ISBN
    0-7695-0804-9
  • Type

    conf

  • DOI
    10.1109/INFVIS.2000.885101
  • Filename
    885101