Journal article
Unlocking vehicle-to-grid potential of load shifting in China’s megacities considering comprehensive real-world behaviors
- Abstract:
- Global decarbonization necessitates large-scale electrification, bringing load stability challenges to urban grids. While Vehicle-to-grid (V2G) technology using private plug-in electric vehicles (P-PEVs) can balance the loads, its potential at megacity-level remains unclear due to the complexity of fine-grained, user-centric modelling. Here, we propose a Mobility and V2G Coupled (MOVC) framework, which depicts individual P-PEV travel-charge behaviors and evaluates user V2G concerns regarding willingness, compensation, and battery degradation. The framework analyzes 480,000 P-PEVs in Shenzhen, China, revealing a 2300 MW peak-shaving capacity, reducing peak-valley ratios by 73%. V2G strategies that prioritize user satisfaction hardly sacrifice the load shifting performance, but reduce battery degradation costs and compensation costs by 30-40% and 5-13% respectively. A forward-looking scenario considering fully-deployed quick charging (QC) in four China’s megacities reveals 0%-12% lower peak-valley ratios with more inequal V2G scheduling (4%-95% higher standard deviation). This study enlightens megacity-level V2G potential evaluations and their policy-making considering real-world behaviors.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 5.9MB, Terms of use)
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(Supplementary materials, zip, 17.9MB, Terms of use)
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- Publisher copy:
- 10.1038/s41467-025-65073-8
Authors
- Publisher:
- Nature Research
- Journal:
- Nature Communications More from this journal
- Volume:
- 16
- Issue:
- 1
- Article number:
- 10087
- Publication date:
- 2025-11-18
- Acceptance date:
- 2025-10-07
- DOI:
- EISSN:
-
2041-1723
- ISSN:
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2041-1723
- Language:
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English
- Pubs id:
-
2330159
- UUID:
-
uuid_61ef6806-d64a-4161-9cb0-af097001b36d
- Local pid:
-
pubs:2330159
- Source identifiers:
-
3483485
- Deposit date:
-
2025-11-18
- ARK identifier:
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- Copyright date:
- 2025
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