Research on collaborative planning and decentralized operation optimization of power system considering carbon pricing mechanism

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Researchers in carbon pricing and power system optimization will find the integrated planning-operation framework and the use of game theory and ADMM valuable.

🏢実務担当者:Utility and grid operators can learn how to incorporate carbon pricing into system planning and enable peer-to-peer electricity and carbon trading.

🏛政策担当者:Policymakers can draw on the asymmetric pricing model to design carbon pricing mechanisms that mitigate carbon leakage while promoting efficient allowance allocation.

在“双碳”目标的驱动下，碳定价机制作为引导电力系统低碳转型的核心政策工具，在其落地实施过程中亟需对规划阶段的不对称定价影响及运行阶段的多主体协同优化进行系统性研究。本文构建了一个融合配电网与微电网双层规划及两级碳市场分散化运行的协同优化框架。首先，针对规划阶段，提出了一种考虑强/弱复合碳泄漏效应的不对称定价模型，通过联络线扩展规划和微电网多站点规划刻画跨区域能源交易与产业转移的泄漏渠道，并构建免费碳排放配额（CEA）与区域间碳税的减缓机制。其次，在运行阶段，设计了基于Stackelberg博弈的初级碳市场CEA分配框架，并结合动态惩罚因子ADMM算法，实现了二级碳市场中电力和碳的点对点（P2P）交易分散化优化。最后，在改进的IEEE 12节点系统及多区域电力系统上的案例研究验证了所提模型在抑制碳泄漏、提高配额分配效率以及保障分散交易隐私方面的有效性。研究结果为碳定价机制下的电力系统低碳转型提供了一体化的规划-运行解决方案。

AI 翻訳（deepseek-v4-flash）。 正確を期す場合は下の原文を参照してください。

Driven by the "double carbon" goals, the carbon pricing mechanism, as a core policy tool guiding the low-carbon transformation of power systems, urgently requires systematic research on the impact of asymmetric pricing in the planning stage and the multi-agent collaborative optimization in the operation stage during its implementation. This paper establishes a collaborative optimization framework integrating bi-level planning of distribution networks and microgrids with decentralized operation of two-level carbon markets. First, for the planning stage, an asymmetric pricing model considering strong/weak compo-site carbon leakage effects is proposed, depicting leakage channels of cross-regional energy trading and industrial transfer through tie-line expansion planning and microgrid multi-site planning, and constructing mitigation mechanisms of free carbon emission allowances (CEA) and inter-regional carbon taxes. Second, in the operation stage, a CEA allocation framework for the primary carbon market based on Stackelberg game is designed, and a distributed optimization of peer-to-peer (P2P) trading of electricity and carbon in the secondary carbon market is realized by combining the dynamic penalty factor ADMM algorithm. Finally, case studies on the improved IEEE 12-node system and multi-regional power systems verify the effectiveness of the proposed model in inhibiting carbon leakage, improving allowance allocation efficiency, and ensuring privacy in decentralized trading. The research results provide an integrated planning-operation solution for the low-carbon transformation of power systems under the carbon pricing mechanism.

• openalex https://doi.org/10.1049/icp.2026.1547first seen 2026-07-13 06:22:38