Alternatives to Contour Visualizations for Power Systems Data

Isaiah Lyons-Galante, Morteza Karimzadeh, Samantha Molnar, Graham Johnson, Kenny Gruchalla

Research output: Contribution to conferencePaper

Abstract

Electrical grids are geographical and topological structures whose voltage states are challenging to represent accurately and efficiently for visual analysis. The current common practice is to use colored contour maps, yet these can misrepresent the data. We examine the suitability of four alternative visualization methods for depicting voltage data in a geographically dense distribution system - Voronoi polygons, H3 tessellations, S2 tessellations, and a network-weighted contour map. We find that Voronoi tessellations and network-weighted contour maps more accurately represent the statistical distribution of the data than regular contour maps.
Original languageAmerican English
Pages11-15
Number of pages5
DOIs
StatePublished - 2023
Event2023 Workshop on Energy Data Visualization (EnergyVis) - Melbourne, Australia
Duration: 22 Oct 202323 Oct 2023

Conference

Conference2023 Workshop on Energy Data Visualization (EnergyVis)
CityMelbourne, Australia
Period22/10/2323/10/23

NREL Publication Number

  • NREL/CP-2C00-87207

Keywords

  • power systems
  • tessellation
  • visualization

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