Alternatives to Contour Visualizations for Power Systems Data

Lyons-Galante, Isaiah; Karimzadeh, Morteza; Molnar, Samantha; Johnson, Graham (ORCID:0000000244566909); Gruchalla, Kenny (ORCID:0000000281551175)

DOE OSTI · 2205320

Alternatives to Contour Visualizations for Power Systems Data

Lyons-Galante, Isaiah·Karimzadeh, Morteza·Molnar, Samantha·Johnson, Graham (ORCID:0000000244566909)·Gruchalla, Kenny (ORCID:0000000281551175)

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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.

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Lyons-Galante, Isaiah, Karimzadeh, Morteza, Molnar, Samantha, Johnson, Graham (ORCID:0000000244566909), Gruchalla, Kenny (ORCID:0000000281551175). 2023-11-03. Alternatives to Contour Visualizations for Power Systems Data. https://www.osti.gov/biblio/2205320

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