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A large-scale high-resolution geographic analysis of impacts of electric vehicle charging on low-voltage grids

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  • Hartvigsson, Elias
  • Taljegard, Maria
  • Odenberger, Mikael
  • Chen, Peiyuan

Abstract

Electric vehicles enable the decarbonization of the transportation sector. Yet, system implications of fully electrified private transportation on national low-voltage grids are still unknown. This study presents a geographic analysis of power system violations on a synthetically generated version of the Swedish low-voltage grid due to home charging of private passenger electric vehicles using different charging strategies. We link a national energy system model with a reference network model that together generate low-voltage proxy grids within each inhabited km2 of Sweden. We produce the first national coverage of electric vehicle charging impacts in residential areas. Our results show that the risk of power system violations due to electric vehicle charging are largest in cities and smaller in urban areas, while rural areas show significantly fewer violations. We also find that an electricity price optimized charging strategy primarily increases the risk of low-voltage power system violations in some city areas. In addition, we find large variations in power system violations in each of Sweden's four price areas. Direct charging is preferable in the far north while price optimized charging is preferable in the far south. The results show variations in impacts on distribution system operators from national low-cost renewable energy systems depending on their geographical location. The findings show important connections between national energy system models and local low-voltage grid violations.

Suggested Citation

  • Hartvigsson, Elias & Taljegard, Maria & Odenberger, Mikael & Chen, Peiyuan, 2022. "A large-scale high-resolution geographic analysis of impacts of electric vehicle charging on low-voltage grids," Energy, Elsevier, vol. 261(PA).
    • Handle: RePEc:eee:energy:v:261:y:2022:i:pa:s0360544222020710
    DOI: 10.1016/j.energy.2022.125180
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    1. De Gennaro, Michele & Paffumi, Elena & Scholz, Harald & Martini, Giorgio, 2014. "GIS-driven analysis of e-mobility in urban areas: An evaluation of the impact on the electric energy grid," Applied Energy, Elsevier, vol. 124(C), pages 94-116.
    2. Shepero, Mahmoud & Munkhammar, Joakim, 2018. "Spatial Markov chain model for electric vehicle charging in cities using geographical information system (GIS) data," Applied Energy, Elsevier, vol. 231(C), pages 1089-1099.
    3. Sarabi, Siyamak & Davigny, Arnaud & Courtecuisse, Vincent & Riffonneau, Yann & Robyns, Benoît, 2016. "Potential of vehicle-to-grid ancillary services considering the uncertainties in plug-in electric vehicle availability and service/localization limitations in distribution grids," Applied Energy, Elsevier, vol. 171(C), pages 523-540.
    4. Matteo Muratori, 2018. "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," Nature Energy, Nature, vol. 3(3), pages 193-201, March.
    5. Hartvigsson, Elias & Odenberger, Mikael & Chen, Peiyuan & Nyholm, Emil, 2021. "Estimating national and local low-voltage grid capacity for residential solar photovoltaic in Sweden, UK and Germany," Renewable Energy, Elsevier, vol. 171(C), pages 915-926.
    6. Mu, Yunfei & Wu, Jianzhong & Jenkins, Nick & Jia, Hongjie & Wang, Chengshan, 2014. "A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles," Applied Energy, Elsevier, vol. 114(C), pages 456-465.
    7. Morrissey, Patrick & Weldon, Peter & O’Mahony, Margaret, 2016. "Future standard and fast charging infrastructure planning: An analysis of electric vehicle charging behaviour," Energy Policy, Elsevier, vol. 89(C), pages 257-270.
    8. Björnsson, Lars-Henrik & Karlsson, Sten, 2015. "Plug-in hybrid electric vehicles: How individual movement patterns affect battery requirements, the potential to replace conventional fuels, and economic viability," Applied Energy, Elsevier, vol. 143(C), pages 336-347.
    9. Maria Taljegard & Lisa Göransson & Mikael Odenberger & Filip Johnsson, 2019. "Electric Vehicles as Flexibility Management Strategy for the Electricity System—A Comparison between Different Regions of Europe," Energies, MDPI, vol. 12(13), pages 1-19, July.
    10. Fernando E. Postigo Marcos & Carlos Mateo Domingo & Tomás Gómez San Román & Bryan Palmintier & Bri-Mathias Hodge & Venkat Krishnan & Fernando De Cuadra García & Barry Mather, 2017. "A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks," Energies, MDPI, vol. 10(11), pages 1-14, November.
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    2. Adu-Gyamfi, Gibbson & Song, Huaming & Nketiah, Emmanuel & Obuobi, Bright & Wu, Qin & Cudjoe, Dan, 2024. "Refueling convenience and range satisfaction in electric mobility: Investigating consumer willingness to use battery swap services for electric vehicles," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    3. Sandström, Maria & Huang, Pei & Bales, Chris & Dotzauer, Erik, 2023. "Evaluation of hosting capacity of the power grid for electric vehicles – A case study in a Swedish residential area," Energy, Elsevier, vol. 284(C).
    4. Sheridan Few & Predrag Djapic & Goran Strbac & Jenny Nelson & Chiara Candelise, 2024. "A geographically disaggregated approach to integrate low-carbon technologies across local electricity networks," Nature Energy, Nature, vol. 9(7), pages 871-882, July.

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