Scholarlink

With the large-scale penetration of electric vehicles (EVs), the mismatch between charging infrastructure supply and user demand exacerbates charging difficulties, weakening users’ willingness to engage in vehicle-to-grid (V2G) interaction, and the high randomness of EV charging loads—driven by diverse user habits and travel patterns—coupled with significant heterogeneities in scattered EV resources, makes it difficult for existing methods to fully unlock their regulatable value. To address these issues, this paper proposes a multi-dimensional EV user willingness assessment method that integrates three core dimensions. By quantifying the willingness of individual users to participate in V2G regulation, this method enables aggregators to accurately screen and aggregate high-potential EV resources, thereby optimizing their resource allocation strategies in multi-market transactions. Ultimately, this study aims to help aggregators balance user experience and market revenue, and effectively enhance their revenue capacity while promoting the large-scale participation of EVs in V2G interaction.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multi-Market Revenue Optimization: Integrating EV Users Response Modeling

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Ying Chen,
  • Shuohui Zhang,
  • Junjie Hu,
  • Ye Yang,
  • Guangwei Rong,
  • Sihua Liu

摘要

With the large-scale penetration of electric vehicles (EVs), the mismatch between charging infrastructure supply and user demand exacerbates charging difficulties, weakening users’ willingness to engage in vehicle-to-grid (V2G) interaction, and the high randomness of EV charging loads—driven by diverse user habits and travel patterns—coupled with significant heterogeneities in scattered EV resources, makes it difficult for existing methods to fully unlock their regulatable value. To address these issues, this paper proposes a multi-dimensional EV user willingness assessment method that integrates three core dimensions. By quantifying the willingness of individual users to participate in V2G regulation, this method enables aggregators to accurately screen and aggregate high-potential EV resources, thereby optimizing their resource allocation strategies in multi-market transactions. Ultimately, this study aims to help aggregators balance user experience and market revenue, and effectively enhance their revenue capacity while promoting the large-scale participation of EVs in V2G interaction.