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Open-Source Geospatial Assessment of Electricity Transmission Infrastructure
Evan Alexander Peters*, Edward Oughton, Dennies Bor, Noah Rivera
College of Science, George Mason University, Fairfax, VA, USA
*Corresponding author: Evan A. Peters (e-mail: epeter24@gmu.edu)
Address: College of Science, George Mason University, 4400 University Drive, Fairfax, VA
As presented at AGU24’
References
[1] DHS, “Critical Infrastructure Sectors | CISA.” Accessed: Oct. 20, 2024. [Online]. Available: https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience/critical-infrastructure-sectors
[2] C. J. Schrijver and S. D. Mitchell, “Disturbances in the US electric grid associated with geomagnetic activity,” J. Space Weather Space Clim., vol. 3, 2013, doi: 10.1051/swsc/2013041.
[3] U.S. Government Accountability Office (GAO), “TECHNOLOGY ASSESSMENT Critical Infrastructure Protection Protecting the Electric Grid from Geomagnetic Disturbances.pdf.” Accessed: Oct. 12, 2024. [Online]. Available: https://www.gao.gov/assets/700/696284.pdf
[4] O. Kondrateva, E. Myasnikova, and O. Loktionov, “Analysis of the Climatic Factors Influence on the Overhead Transmission Lines Reliability,” Rigas Teh. Univ. Zinat. Raksti Vides Un Klimata Tehnol. 13 Ser., vol. 24, no. 3, Art. no. 3, 2020, doi: 10.2478/rtuect-2020-0097.
[5] M. Arastounia and D. D. Lichti, “Automatic Object Extraction from Electrical Substation Point Clouds,” Remote Sens., vol. 7, no. 11, Art. no. 11, Nov. 2015, doi: 10.3390/rs71115605.
[6] C. Arderne, C. Zorn, C. Nicolas, and E. E. Koks, “Predictive mapping of the global power system using open data,” Sci. Data, vol. 7, no. 1, p. 19, Jan. 2020, doi: 10.1038/s41597-019-0347-4.
[7] J. Lindahl, R. Johansson, and D. Lingfors, “Mapping of decentralised photovoltaic and solar thermal systems by remote sensing aerial imagery and deep machine learning for statistic generation,” Energy AI, vol. 14, p. 100300, Oct. 2023, doi: 10.1016/j.egyai.2023.100300.
[8] K. Bradbury et al., “Distributed solar photovoltaic array location and extent dataset for remote sensing object identification,” Sci. Data, vol. 3, no. 1, p. 160106, Dec. 2016, doi: 10.1038/sdata.2016.106.
[9] D. Stowell et al., “A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK,” Sci. Data, vol. 7, no. 1, p. 394, Nov. 2020, doi: 10.1038/s41597-020-00739-0.
[10] L. Kruitwagen, K. T. Story, J. Friedrich, L. Byers, S. Skillman, and C. Hepburn, “A global inventory of photovoltaic solar energy generating units,” Nature, vol. 598, no. 7882, pp. 604–610, Oct. 2021, doi: 10.1038/s41586-021-03957-7.
[11] T. Blaschke, “Object based image analysis for remote sensing,” ISPRS J. Photogramm. Remote Sens., vol. 65, no. 1, pp. 2–16, Jan. 2010, doi: 10.1016/j.isprsjprs.2009.06.004.
[12] A. Pulkkinen et al., “Geomagnetically induced currents: Science, engineering, and applications readiness,” Space Weather, vol. 15, no. 7, pp. 828–856, 2017, doi: 10.1002/2016SW001501.
[13] C. T. Gaunt and G. Coetzee, “Transformer failures in regions incorrectly considered to have low GIC-risk,” in 2007 IEEE Lausanne Power Tech, Jul. 2007, pp. 807–812. doi: 10.1109/PCT.2007.4538419.
[14] J. G. Kappenman, “An overview of the impulsive geomagnetic field disturbances and power grid impacts associated with the violent Sun-Earth connection events of 29–31 October 2003 and a comparative evaluation with other contemporary storms,” Space Weather, vol. 3, no. 8, 2005, doi: 10.1029/2004SW000128.
[15] C. M. Ngwira, A. A. Pulkkinen, E. Bernabeu, J. Eichner, A. Viljanen, and G. Crowley, “Characteristics of extreme geoelectric fields and their possible causes: Localized peak enhancements,” Geophys. Res. Lett., vol. 42, no. 17, pp. 6916–6921, 2015, doi: 10.1002/2015GL065061.
[16] A. K. Barnes, A. Mate, and R. Bent, “A Review of the GIC Blocker Placement Problem,” Jul. 26, 2024, arXiv: arXiv:2402.07302. doi: 10.48550/arXiv.2402.07302.
[17] M. Kazerooni, H. Zhu, and T. J. Overbye, “Improved Modeling of Geomagnetically Induced Currents Utilizing Derivation Techniques for Substation Grounding Resistance,” IEEE Trans. Power Deliv., vol. 32, no. 5, pp. 2320–2328, Oct. 2017, doi: 10.1109/TPWRD.2016.2616399.
[18] R. Caraballo, J. A. González-Esparza, C. R. Pacheco, and P. Corona-Romero, “Improved Model for GIC Calculation in the Mexican Power Grid,” Space Weather, vol. 21, no. 10, p. e2022SW003202, 2023, doi: 10.1029/2022SW003202.
[19] D. Mayer and M. Stork, “Sciendo,” J. Electr. Eng., vol. 75, no. 3, pp. 224–228, Jun. 2024, doi: 10.2478/jee-2024-0027.
[20] E. J. Oughton et al., “A Risk Assessment Framework for the Socioeconomic Impacts of Electricity Transmission Infrastructure Failure Due to Space Weather: An Application to the United Kingdom,” Risk Anal., vol. 39, no. 5, pp. 1022–1043, 2019, doi: 10.1111/risa.13229.
[21] S. Adhikari, D. Mueller, R. Walling, and A. J. O’Laughlin, “A comprehensive study of geomagnetic disturbance (GMD) system impact,” in 2017 IEEE Power & Energy Society General Meeting, Jul. 2017, pp. 1–5. doi: 10.1109/PESGM.2017.8273848.
[22] C. Liu, L. Liu, and X. Niu, “Disastrous space weather risk on large-scale power grid,” in 2010 5th International Conference on Critical Infrastructure (CRIS), Sep. 2010, pp. 1–5. doi: 10.1109/CRIS.2010.5617523.
[23] P. Jankee, H. Chisepo, V. Adebayo, D. Oyedokun, and C. T. Gaunt, “Transformer models and meters in MATLAB and PSCAD for GIC and leakage dc studies,” in 2020 International SAUPEC/RobMech/PRASA Conference, Jan. 2020, pp. 1–6. doi: 10.1109/SAUPEC/RobMech/PRASA48453.2020.9041060.
[24] Y. Zahraoui et al., “AI Applications to Enhance Resilience in Power Systems and Microgrids—A Review,” Sustainability, vol. 16, no. 12, Art. no. 12, 2024, doi: 10.3390/su16124959.
[25] S. Borenius, P. Gopalakrishnan, L. B. Tjernberg, and R. Kantola, “Expert-Guided Security Risk Assessment of Evolving Power Grids,” Energies, vol. 15, no. 9, Art. no. 9, 2022, doi: 10.3390/en15093237.
[26] W. Medjroubi, U. Müller, M. Scharf, C. Matke, and D. Kleinhans, “Open Data in Power Grid Modelling: New Approaches Towards Transparent Grid Models,” Energy Rep., vol. 3, pp. 14–21, Dec. 2016, doi: 10.1016/j.egyr.2016.12.001.
[27] E. J. Oughton, A. Skelton, R. B. Horne, A. W. P. Thomson, and C. T. Gaunt, “Quantifying the daily economic impact of extreme space weather due to failure in electricity transmission infrastructure,” Space Weather, vol. 15, no. 1, pp. 65–83, 2017, doi: 10.1002/2016SW001491.
[28] S. Mohanty and R. Shaw, “Disaster Resilient Infrastructure and Sustainable Development Goals: Focus on Energy and Power Sector,” in Energy, Sustainability and Resilience: A Futuristic Vision from Asia, R. Shaw, K. Silva, and N. Chollacoop, Eds., Singapore: Springer Nature, 2024, pp. 13–21. doi: 10.1007/978-981-97-4174-8_2.
[29] A. Ghodeswar, M. Bhandari, and B. Hedman, “Quantifying the economic costs of power outages owing to extreme events: A systematic review,” Renew. Sustain. Energy Rev., vol. 207, p. 114984, Oct. 2024, doi: 10.1016/j.rser.2024.114984.
[30] T. S. Molinski, W. E. Feero, and B. L. Damsky, “Shielding grids from solar storms [power system protection],” IEEE Spectr., vol. 37, no. 11, pp. 55–60, Nov. 2000, doi: 10.1109/6.880955.
[31] North American Electric Reliability Corporation, “2012NERCGMDReport.pdf.” Accessed: Oct. 30, 2024. [Online]. Available: https://www.balch.com/files/upload/2012NERCGMDReport.pdf
[32] H. Fechner et al., “Data Model for PV Systems - Data Model and Data Acquisition for PV registration schemes and grid connection evaluations – Best Practice and Recommendations,” IEA PVPS Task 14, info:eu-repo/semantics/report, Dec. 2020. Accessed: Oct. 29, 2024. [Online]. Available: https://iea-pvps.org/key-topics/data-model-and-data-acquisition-for-pv-registration-schemes-and-grid-connection-best-practice-and-recommendations/
[33] S. Ren et al., “Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis,” Appl. Energy, vol. 326, p. 119876, Nov. 2022, doi: 10.1016/j.apenergy.2022.119876.
[34] J. R. Jensen and D. C. Cowen, “Remote Sensing of Urban/Suburban Infrastructure and Socio‐Economic Attributes,” in The Map Reader, 1st ed., M. Dodge, R. Kitchin, and C. Perkins, Eds., Wiley, 2011, pp. 153–163. doi: 10.1002/9780470979587.ch22.
[35] D. C. Zanotta, M. Zortea, and M. P. Ferreira, “A supervised approach for simultaneous segmentation and classification of remote sensing images,” ISPRS J. Photogramm. Remote Sens., vol. 142, pp. 162–173, Aug. 2018, doi: 10.1016/j.isprsjprs.2018.05.021.