A Novel Visualization Technique for Electric Power Grid Analytics

  • Authors:

  • Pak Chung Wong;Kevin Schneider;Patrick Mackey;Harlan Foote;George Chin Jr.;Ross Guttromson;Jim Thomas

  • Affiliations:

  • Pacific Northwest National Laboratory, Richland;Pacific Northwest National Laboratory, Richland;Pacific Northwest National Laboratory, Richland;Pacific Northwest National Laboratory, Richland;Pacific Northwest National Laboratory, Richland;Pacific Northwest National Laboratory, Richland;Pacific Northwest National Laboratory, Richland

  • Venue:
  • IEEE Transactions on Visualization and Computer Graphics
  • Year:
  • 2009

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Abstract

The application of information visualization holds tremendous promise for the electric power industry, but its potential has so far not been sufficiently exploited by the visualization community. Prior work on visualizing electric power systems has been limited to depicting raw or processed infor卢mation on top of a geographic layout. Little effort has been devoted to visualizing the physics of the power grids, which ultimately determines the condition and stability of the electricity infrastructure. Based on this assessment, we developed a novel visualization system prototype, GreenGrid, to explore the planning and monitoring of the North American Electricity Infrastructure. The paper discusses the rationale underlying the GreenGrid design, describes its implementation and performance details, and assesses its strengths and weaknesses against the current geographic-based power grid visualization. We also present a case study using GreenGrid to analyze the information collected moments before the last major electric blackout in the Western United States and Canada, and a usability study to evaluate the practical significance of our design in simulated real-life situations. Our result indicates that many of the disturbance characteristics can be readily identified with the proper form of visualization.