• DocumentCode
    130918
  • Title

    Perfect power visualization-performance optimization with Java

  • Author

    Chenqi Bao ; Flueck, Alexander ; Jianmin Bao ; Xuan Shen

  • Author_Institution
    Comput. of Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    569
  • Lastpage
    572
  • Abstract
    Visualization is critical in power systems engineering since the gigantic amount of data generated by power systems is difficult, and at times impossible, to be analyzed numerically. Therefore, the need for powerful visualization software has been increasingly acute due to the growth in size of power system models. To improve PPV´s performance in order to accompany larger systems, this paper focuses on the development of PPV (Perfect Power Visualization), a 2-D power system visualization software program that processes and converts numerical data to graphic symbols based on their types, positions and states. The goal of PPV is to let operators visualize and interact with large-scale power systems in a consumer lever personal computer in real time. Also, it was optimized again with smarter data management systems, refinement of overall structure, and a newer platform that enables GPU acceleration, all of which further increased the performance of PPV by a factor of ten times that of its initial capabilities.
  • Keywords
    Java; data visualisation; power engineering computing; 2D power system visualization software program; GPU acceleration; Java; PPV performance; consumer lever personal computer; large-scale power systems; perfect power visualization-performance optimization; power system models; power systems engineering; smart data management systems; Arrays; Computers; Data visualization; Java; Optimization; Power systems; GPU acceleration; JavaFX; PPV; Performance Optimization; Power System Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933632
  • Filename
    6933632