China’s urban EV ultra-fast charging distorts regulated price signals and elevates risk to grid stability

The wide adoption of electric vehicles is driving the rapid deployment of ultra-fast charging stations, particularly in China. This study uses simulations based on extensive real-world charging data from major Chinese cities and finds that deploying 2000 ultra-fast charging stations in a city may increase the peak-to-valley differences of the public charging load by up to 31.61% daily relative to baseline cases. While integrating energy storage systems can help smooth short-term load volatility, it may simultaneously exacerbate short-term demand surges, particularly during the transition from high- to low-price periods. Under an unregulated scenario, large-scale deployment of ultra-fast charging stations with energy storage could raise peak loads by over 70-85% by 2030 and multiply them by up to 7.5 times by 2050. These findings underscore that a comprehensive rethinking of grid management strategies and market frameworks will be essential to ensure urban energy resilience in an era of rapid electric vehicle expansion.

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Publication Details

Journal
Nature Communications
Published
2025-09-26
DOI
https://doi.org/10.1038/s41467-025-63199-3
Citations
4
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
2.92

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article

China’s urban EV ultra-fast charging distorts regulated price signals and elevates risk to grid stability

Pengjun Zhao, Haoran Zhang, Han Wang, Jiaxing Li et al.
4 citations
Nature Communications
Electric Vehicles and Infrastructure
2.92
article

China’s urban EV ultra-fast charging distorts regulated price signals and elevates risk to grid stability

Pengjun Zhao, Haoran Zhang, Han Wang, Jiaxing Li, Jie Yan, Qìng Yu
article en
4 citations

Abstract

The wide adoption of electric vehicles is driving the rapid deployment of ultra-fast charging stations, particularly in China. This study uses simulations based on extensive real-world charging data from major Chinese cities and finds that deploying 2000 ultra-fast charging stations in a city may increase the peak-to-valley differences of the public charging load by up to 31.61% daily relative to baseline cases. While integrating energy storage systems can help smooth short-term load volatility, it may simultaneously exacerbate short-term demand surges, particularly during the transition from high- to low-price periods. Under an unregulated scenario, large-scale deployment of ultra-fast charging stations with energy storage could raise peak loads by over 70-85% by 2030 and multiply them by up to 7.5 times by 2050. These findings underscore that a comprehensive rethinking of grid management strategies and market frameworks will be essential to ensure urban energy resilience in an era of rapid electric vehicle expansion.

Nature CommunicationsVol. 16(1)
North China Electric Power University (CN), Peking University (CN), Peking University Shenzhen Hospital (CN), Peng Cheng Laboratory (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Guangdong Province, Tongji University, Peking University, National Key Research and Development Program of China, Shenzhen Science and Technology Innovation Program
Openalex Percentile: Top 8%
Electric Vehicles and Infrastructure
2.92
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