A Reproducible Method for Mapping Electricity Transmission Infrastructure for Space Weather Risk Assessment

[2412.17685] A Reproducible Method for Mapping Electricity Transmission Infrastructure for Space Weather Risk Assessment Skip to main content Search Submit Donate Log in Physics > Geophysics arXiv:2412.17685 (physics) [Submitted on 23 Dec 2024 ( v1 ), last revised 27 Aug 2026 (this version, v3)] Title: A Reproducible Method for Mapping Electricity Transmission Infrastructure for Space Weather Risk Assessment Authors: Dennies K. Bor , Edward J. Oughton , Evan A. Peters , Noah Rivera , C. Trevor Gaunt , Robert Weigel , Michael Wiltberger View PDF HTML (experimental) Abstract: Space weather risk assessment is constrained by the lack of available asset information needed to model geomagnetically induced currents (GICs) in electricity transmission infrastructure. We propose a systematic method that enables risk analysts to collect their own open-source substation data. Using a web browser platform for annotation, we convert OpenStreetMap (OSM) substation locations into high-resolution, component-level mappings of electricity transmission assets. We convert an initial 1,313 high-voltage (>=230 kV) substations to 52,273 components using low-altitude, satellite, and Street View imagery accessed through Google Earth, identifying 7,949 transformers. Compared to the OSM baseline, this approach provides detailed insights on voltage levels and substation configurations. We then construct a geospatial GIC network for the Tennessee Valley Authority (TVA) region, comparing May 2024 results with the University of Illinois Urbana-Champaign 150-bus (UIUC150) synthetic network and with measured ground GICs at 13 monitoring devices. The transformer types at unannotated substations and the grounding resistances are unknown, so we sample both across a Monte Carlo ensemble. This gives a median TVA 95th-percentile peak ground GIC of 29.1 A, with a 90 percent confidence interval of 23.9-36.1 A. The UIUC150 network yields a 95th-percentile peak ground GIC of 35.8 A under the same forcing, falling within this interval, and the modeled time series broadly capture the temporal morphology of the geomagnetic storm at the monitoring sites. This method shows promise for spatially explicit, screening-level GIC assessment without requiring access to operator data. Subjects: Geophysics (physics.geo-ph) ; Systems and Control (eess.SY) Cite as: arXiv:2412.17685 [physics.geo-ph] (or arXiv:2412.17685v3 [physics.geo-ph] for this version) https://doi.org/10.48550/arXiv.2412.17685 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Edward Oughton [ view email ] [v1] Mon, 23 Dec 2024 16:11:18 UTC (6,762 KB) [v2] Mon, 11 May 2026 14:04:47 UTC (4,376 KB) [v3] Thu, 27 Aug 2026 22:45:13 UTC (5,319 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: physics.geo-ph < prev | next > new | recent | 2024-12 Change to browse by: cs cs.SY eess eess.SY physics References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

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