File:Impact of electric vehicle charging demand on power distribution grid congestion.pdf

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Original file(1,216 × 1,631 pixels, file size: 2.6 MB, MIME type: application/pdf, 10 pages)

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Impact of electric vehicle charging demand on power distribution grid congestion

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English: California, a pioneer in EV adoption, has enacted ambitious electric vehicle (EV) policies that will generate a large burden on the state’s electric distribution system. We investigate the statewide impact of uncontrolled EV charging on the electric distribution networks at a large scale and high granularity, by employing an EV charging profile projection that combines travel demand model, EV adoption model, and real-world EV charging data. We find a substantial need for infrastructure upgrades in 50% of feeders by 2035, and 67% of feeders by 2045. The distribution system across California must upgrade its capacity by 25 GW by 2045, corresponding to a cost between $6 and $20 billion. While the additional infrastructure cost drives the electricity price up, it is offset by the downward pressure from the growth of total electricity consumption and leads to a reduction in electricity rate between $0.01 and $0.06/kWh by 2045. We also find that overloading conditions are highly diverse spatially, with feeders in residential areas requiring twice as much upgrade compared to commercial areas. Our study provides a framework for evaluating EVs’ impact on the distribution grid and indicates the potential to reduce infrastructure upgrade costs by shifting home-charging demand. The imminent challenges confronting California serve as a microcosm of the forthcoming obstacles anticipated worldwide due to the prevailing global trend of EV adoption.
Date
Source doi:10.1073/pnas.2317599121
Author Yanning Li and Alan Jenn

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current07:47, 25 April 2024Thumbnail for version as of 07:47, 25 April 20241,216 × 1,631, 10 pages (2.6 MB)Koavf (talk | contribs)Uploaded a work by Yanning Li and Alan Jenn from https://www.pnas.org/doi/abs/10.1073/pnas.2317599121 with UploadWizard

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