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 language | American English |
|---|---|
| Pages | 11-15 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 Workshop on Energy Data Visualization (EnergyVis) - Melbourne, Australia Duration: 22 Oct 2023 → 23 Oct 2023 |
Conference
| Conference | 2023 Workshop on Energy Data Visualization (EnergyVis) |
|---|---|
| City | Melbourne, Australia |
| Period | 22/10/23 → 23/10/23 |
NLR Publication Number
- NREL/CP-2C00-87207
Keywords
- power systems
- tessellation
- visualization
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