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.
Authors
- Pengjun Zhao (ORCID: https://orcid.org/0000-0001-5373-5551)
- Haoran Zhang (ORCID: https://orcid.org/0000-0002-4641-0641)
- Han Wang (ORCID: https://orcid.org/0000-0002-4398-2476)
- Jiaxing Li (ORCID: https://orcid.org/0000-0001-9461-5126)
- Jie Yan (ORCID: https://orcid.org/0000-0002-8800-6487)
- Qìng Yu (ORCID: https://orcid.org/0009-0008-4194-1129)
Institutions
- North China Electric Power University (CN)
- Peking University (CN)
- Peking University Shenzhen Hospital (CN)
- Peng Cheng Laboratory (CN)
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
Funders
- 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