Alternatives to Contour Visualizations for Power Systems Data

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

doi:10.1109/EnergyVis60781.2023.00009

Alternatives to Contour Visualizations for Power Systems Data

Conference · Wed Dec 13 04:00:00 EST 2023

DOI:https://doi.org/10.1109/EnergyVis60781.2023.00009· OSTI ID:2298931

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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.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 2298931

Report Number(s):: NREL/CP-2C00-87207; MainId:87982; UUID:74a691c7-0dc8-45ed-a7ce-557a3aa7d6ba; MainAdminId:71004

Country of Publication:: United States

Language:: English

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MATHEMATICS AND COMPUTING
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