陈佳浩,曾君,乔宇鹏,华建超
CHEN Jiahao,ZENG Jun,QIAO Yupeng,HUA Jianchao

• 1:华南理工大学电力学院
• 2:华南理工大学自动化科学与工程学院

摘要(Abstract)：

为解决现有微网运行研究多侧重经济优化、对负荷侧碳排放关注不足的问题，构建了考虑电碳耦合机制的园区微网多主体低碳协同优化模型。模型中各主体在传统用电优化策略基础上，引入以碳排放因子为表征的碳责任优化策略，实现碳责任的灵活转移与合理划分，以推动微网低碳运行。同时，建立电动汽车集群等效储能模型，挖掘用户侧资源灵活性，降低园区微网对储能装置的依赖。算例结果表明，所提多主体协同优化策略能够有效提升微网内各主体运行的经济性与低碳水平，电动汽车集群等效储能可显著促进新能源消纳、减少储能配置，可为园区微网低碳优化运行提供可行方法与决策支撑。
Addressing the gap where existing microgrid research prioritizes economic performance over demand-side carbon emissions, this paper develops a multi-agent collaborative optimization model for park-level microgrids incorporating electricity-carbon coupling mechanisms. Building upon conventional electricity-use optimization, a carbonresponsibility optimization strategy based on carbon emission factors is introduced. This approach enables the flexible transfer and rational allocation of carbon responsibility to drive low-carbon microgrid operation. Furthermore, an equivalent energy storage(EES) model for electric vehicle(EV) clusters is established to leverage demand-side flexibility, thereby reducing the microgrid's reliance on dedicated energy storage systems. The collaborative optimization is formulated using potential game theory. Case studies demonstrate that the proposed strategy effectively enhances both the economic viability and carbon performance of each agent. Additionally, the EV-based EES significantly promotes renewable energy accommodation and optimizes storage capacity configuration, providing a feasible methodology and decision support for the low-carbon operation of park-level microgrids.

关键词(KeyWords)： 微网;电动汽车;等效储能;势博弈;电碳耦合
microgrid;electric vehicle;equivalent energy storage;potential game;electricity-carbon coupling

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（62173148）;; 广东省自然科学基金（2024A1515012428）

作者(Author): 陈佳浩,曾君,乔宇鹏,华建超
CHEN Jiahao,ZENG Jun,QIAO Yupeng,HUA Jianchao

DOI: 10.19585/j.zjdl.202610005

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