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<p>To address the increasingly integrated electricity–carbon coupling relationship, active distribution networks must establish an effective carbon emission responsibility allocation mechanism to guide carbon cost management. Moreover, shared energy storage (SES), an emerging business model, is flourishing within active distribution networks. First, a two-layer collaboration operation framework for active distribution networks and shared energy storage is constructed. The upper-layer ADN operator reduces total costs and calculates the nodal carbon potential on the basis of carbon emission flow tracking theory, generating a carbon responsibility allocation cost (CRAC) signal. The lower-layer SES operator responds to the distribution locational marginal price and CRAC signals, formulating charging and discharging strategies with the goal of reducing its own operational costs. Case studies demonstrate that, under a high renewable penetration scenario, the proposed framework reduces the total system operating cost by approximately 15% and carbon emissions by about 12%, while effectively guiding SES to charge during low-carbon periods and discharge during high-carbon periods.</p>

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Bilevel coordination method for an electricity–carbon coupling ADN with shared energy storage

  • 期刊论文

  • 发表日期：

    2026年6月30日

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  • Xingang Yang,
  • Qiunan Yang,
  • Qian Ai,
  • Jiamei Li,
  • Di Wang

摘要

To address the increasingly integrated electricity–carbon coupling relationship, active distribution networks must establish an effective carbon emission responsibility allocation mechanism to guide carbon cost management. Moreover, shared energy storage (SES), an emerging business model, is flourishing within active distribution networks. First, a two-layer collaboration operation framework for active distribution networks and shared energy storage is constructed. The upper-layer ADN operator reduces total costs and calculates the nodal carbon potential on the basis of carbon emission flow tracking theory, generating a carbon responsibility allocation cost (CRAC) signal. The lower-layer SES operator responds to the distribution locational marginal price and CRAC signals, formulating charging and discharging strategies with the goal of reducing its own operational costs. Case studies demonstrate that, under a high renewable penetration scenario, the proposed framework reduces the total system operating cost by approximately 15% and carbon emissions by about 12%, while effectively guiding SES to charge during low-carbon periods and discharge during high-carbon periods.