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<p>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.</p>

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Unlocking vehicle-to-grid potential of load shifting in China’s megacities considering comprehensive real-world behaviors

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月18日

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  • Kaisan Li,
  • Xinxin Li,
  • Zuxun Xiong,
  • Shengyu Tao,
  • Gucheng Zhao,
  • Yi Jiang,
  • He Qi,
  • Yi Zhang

摘要

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.