• DocumentCode
    1474384
  • Title

    A Data-Driven Approach to Interactive Visualization of Power Systems

  • Author

    Zhu, Jun ; Zhuang, Eric ; Ivanov, Chavdar ; Yao, Ziwen

  • Author_Institution
    Power Inf. LLC, Bothell, WA, USA
  • Volume
    26
  • Issue
    4
  • fYear
    2011
  • Firstpage
    2539
  • Lastpage
    2546
  • Abstract
    Information visualization appears to be a promising technique for improving the business practices in today´s electric power industry. The legacy power system visualization tools, however, restrict the visualization process to follow a limited number of pre-defined patterns created by human designers, thus hindering users´ ability to discover. This paper proposes a data-driven approach to interactive visualization of power systems. The proposed approach relies on developing powerful data manipulation algorithms to create visualizations based on the characteristics of empirically or mathematically derived data. Based on this approach, a data-driven model exploratory tool has been developed to enable users to visualize the power system´s physical/electrical configurations at various levels and from different perspectives. The conducted case studies have demonstrated that the data-driven approach could result in an interactive and user-driven power system visualization tool that fosters scientific understanding and insight, therefore unleashing the power of visualization.
  • Keywords
    data visualisation; power engineering computing; power system simulation; business practice; common information model; data driven interactive visualization; data driven model; electric power industry; electrical configuration; information visualization; legacy power system visualization tool; physical configuration; power system interactive visualization; powerful data manipulation algorithms; predefined patterns; Data visualization; Pattern matching; Power system dynamics; Smart grids; Visual analytics; Common Information Model (CIM); Smart Grid; data-driven; interactive visualization; one-line diagram; pattern matching; power system visualization; situational awareness; visual analytics;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2011.2119499
  • Filename
    5733386