Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption

Siobhan Powell (), Gustavo Vianna Cezar, Liang Min, Inês M. L. Azevedo () and Ram Rajagopal ()
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Siobhan Powell: Stanford University
Gustavo Vianna Cezar: SLAC National Accelerator Laboratory
Liang Min: Stanford University
Inês M. L. Azevedo: Stanford University
Ram Rajagopal: Stanford University

Nature Energy, 2022, vol. 7, issue 10, 932-945

Abstract: Abstract Electric vehicles will contribute to emissions reductions in the United States, but their charging may challenge electricity grid operations. We present a data-driven, realistic model of charging demand that captures the diverse charging behaviours of future adopters in the US Western Interconnection. We study charging control and infrastructure build-out as critical factors shaping charging load and evaluate grid impact under rapid electric vehicle adoption with a detailed economic dispatch model of 2035 generation. We find that peak net electricity demand increases by up to 25% with forecast adoption and by 50% in a stress test with full electrification. Locally optimized controls and high home charging can strain the grid. Shifting instead to uncontrolled, daytime charging can reduce storage requirements, excess non-fossil fuel generation, ramping and emissions. Our results urge policymakers to reflect generation-level impacts in utility rates and deploy charging infrastructure that promotes a shift from home to daytime charging.

Date: 2022
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DOI: 10.1038/s41560-022-01105-7

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