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Distribution grid impacts of electric vehicles: A California case study

California has adopted a substantial number of electric vehicles over the last decade but there are many challenges associated with the electrification of vehicles, including how they interact with the electricity grid. We employ real-world feeder circuit level data in California from PG&E to me...

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Detalles Bibliográficos
Autores principales: Jenn, Alan, Highleyman, Jake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749456/
https://www.ncbi.nlm.nih.gov/pubmed/35036872
http://dx.doi.org/10.1016/j.isci.2021.103686
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author Jenn, Alan
Highleyman, Jake
author_facet Jenn, Alan
Highleyman, Jake
author_sort Jenn, Alan
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description California has adopted a substantial number of electric vehicles over the last decade but there are many challenges associated with the electrification of vehicles, including how they interact with the electricity grid. We employ real-world feeder circuit level data in California from PG&E to measure the capacity of local feeders. We model the adoption of electric vehicles down to the census block and take advantage of real-world vehicle charging data to simulate the future loading on circuits throughout Northern California. In our highest adoption scenario of 6 million electric vehicles in California, we find that across PG&E's service territory, 443 circuits will require upgrades (nearly 20% of all circuits) and merely 88 of these feeders have planned upgrades in the future. The costs of these feeders are an essential part of a utility's planning process, and this work speaks to the importance of electric vehicles on local distribution networks.
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spelling pubmed-87494562022-01-14 Distribution grid impacts of electric vehicles: A California case study Jenn, Alan Highleyman, Jake iScience Article California has adopted a substantial number of electric vehicles over the last decade but there are many challenges associated with the electrification of vehicles, including how they interact with the electricity grid. We employ real-world feeder circuit level data in California from PG&E to measure the capacity of local feeders. We model the adoption of electric vehicles down to the census block and take advantage of real-world vehicle charging data to simulate the future loading on circuits throughout Northern California. In our highest adoption scenario of 6 million electric vehicles in California, we find that across PG&E's service territory, 443 circuits will require upgrades (nearly 20% of all circuits) and merely 88 of these feeders have planned upgrades in the future. The costs of these feeders are an essential part of a utility's planning process, and this work speaks to the importance of electric vehicles on local distribution networks. Elsevier 2021-12-28 /pmc/articles/PMC8749456/ /pubmed/35036872 http://dx.doi.org/10.1016/j.isci.2021.103686 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jenn, Alan
Highleyman, Jake
Distribution grid impacts of electric vehicles: A California case study
title Distribution grid impacts of electric vehicles: A California case study
title_full Distribution grid impacts of electric vehicles: A California case study
title_fullStr Distribution grid impacts of electric vehicles: A California case study
title_full_unstemmed Distribution grid impacts of electric vehicles: A California case study
title_short Distribution grid impacts of electric vehicles: A California case study
title_sort distribution grid impacts of electric vehicles: a california case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749456/
https://www.ncbi.nlm.nih.gov/pubmed/35036872
http://dx.doi.org/10.1016/j.isci.2021.103686
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