考虑碳排放责任的多微网配电系统混合博弈低碳策略

吕超贤; 闫湘源; 张阳; 张恒; 邢润发; 梁睿

doi:10.19912/j.0254-0096.tynxb.2025-0082

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考虑碳排放责任的多微网配电系统混合博弈低碳策略

更新时间：2026-07-22

- 考虑碳排放责任的多微网配电系统混合博弈低碳策略
- Vol. 47, Issue 6, Pages: 10-20(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2025-0082
  CLC： TM73
- Online First：08 July 2026，
  
  Published：2026
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吕超贤, 闫湘源, 张阳, et al. 考虑碳排放责任的多微网配电系统混合博弈低碳策略[J]. 2026, 47(6): 10-20.
DOI：

吕超贤, 闫湘源, 张阳, et al. 考虑碳排放责任的多微网配电系统混合博弈低碳策略[J]. 2026, 47(6): 10-20. DOI： 10.19912/j.0254-0096.tynxb.2025-0082.

摘要

针对多微网配电系统利益冲突下的低碳运行问题

提出一种考虑碳排放责任的多微网配电系统混合博弈低碳策略。首先

基于碳流理论下的碳核算机制

将源侧碳排放归算至负荷侧

明确各方碳排放承担责任

同时考虑多主体间博弈关系

构建多主体参与下包含主从博弈和合作博弈的多微网配电系统混合博弈低碳运行架构。其中

主从博弈以配电网作为领导者、多微网为跟随者

配电网以考虑碳排放的运行成本最小为目标

优化电价以引导多微网需求响应及机组行为

发挥碳流理论下多微网协同减碳潜力

提升系统低碳运行水平;此外

根据主从博弈各微网间功率交互信息

构建基于纳什谈判理论的合作博弈模型

实现各微网间的利益均衡。最后

采用二分法和目标级联法结合策略求解混合博弈模型。算例分析表明该文所构建的混合博弈模型在处理配电网与多微网利益冲突、提升低碳化运行水平方面具有有效性。

Abstract

To address the issue of low-carbon operation in multi-microgrid distribution systems under conflicting interests

this paper proposes a hybrid-game based low-carbon strategy for multi-microgrid distribution system considering carbon emission responsibilities. Firstly

a carbon accounting mechanism based on carbon flow theory is employed to allocate source-side carbon emissions to the load side

thereby clarifying the carbon emission responsibilities of all parties. Simultaneously

considering the game relationships among multiple stakeholders

a hybrid game-based low-carbon operation framework for multi-microgrid distribution systems is developed. This framework incorporates both master-slave and cooperative game models to enable effective multi-stakeholder participation. In this framework

the master-slave game takes the distribution network as the leader and the multi-microgrids as followers. The distribution network aims to minimize its operation costs while accounting for carbon emissions by optimizing electricity pricing. This pricing strategy guides the demand response and operational behaviors of the multi-microgrids

leveraging their collaborative carbon reduction potential under carbon flow theory to enhance the low-carbon operational performance of the system. Moreover

using the power interaction data among microgrids obtained from the master-slave game

a cooperative game model based on Nash negotiations theory is established. This model aims to achieve balanced benefit distribution among the microgrids

promoting fairness and enhancing collaborative efficiency within the system. Finally

the proposed hybrid game model is solved using a combined of the dichotomy and the analytical target cascading approach

ensuring efficient and accurate optimization of the system. The case study analysis demonstrates the effectiveness of the hybrid game model proposed in this paper in addressing the conflicts of interest between the distribution grid and multi-microgrids

and in improving the low-carbon operation level.

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references

杨挺, 党兆帅, 王旭东, 等. 混合交易模式下电力系统全环节碳排放核算方法[J]. 中国电机工程学报, 2025, 45(1): 38-51.

张沈习, 王丹阳, 程浩忠, 等. 双碳目标下低碳综合能源系统规划关键技术及挑战[J]. 电力系统自动化, 2022, 46(8): 189-207.

陈燚, 何山, 谢少华, 等. 基于合作博弈的风-光-电氢微网容量配置[J]. 太阳能学报, 2024, 45(2): 395-405.

吕天光, 艾芊, 孙树敏, 等. 含多微网的主动配电系统综合优化运行行为分析与建模[J]. 中国电机工程学报, 2016, 36(1): 122-132.

周天睿, 康重庆, 徐乾耀, 等. 电力系统碳排放流分析理论初探[J]. 电力系统自动化, 2012, 36(7): 38-43, 85.

黄铭浩, 唐坤杰, 董树锋, 等. 基于碳流理论考虑用户侧碳排放配额的最优潮流[J]. 电网技术, 2023, 47(7): 2703-2712.

李姚旺, 张宁, 杜尔顺, 等. 基于碳排放流的电力系统低碳需求响应机制研究及效益分析[J]. 中国电机工程学报, 2022, 42(8): 2830-2841.

汪超群, 陈懿, 文福拴, 等. 电力系统碳排放流理论改进与完善[J]. 电网技术, 2022, 46(5): 1683-1691.

康重庆, 程耀华, 孙彦龙, 等. 电力系统碳排放流的递推算法[J]. 电力系统自动化, 2017, 41(18): 10-16.

颜湘武, 王庆澳, 卜劲勇, 等. 计及不确定性的基于主从博弈的社区微网运营商电价优化方法[J]. 太阳能学报, 2024, 45(8): 78-85.

李昌杰, 陈玉柱, 秦方, 等. 基于主从博弈的燃气-太阳能-地热能耦合系统运行优化[J]. 太阳能学报, 2024, 45(7): 333-339.

张忠会, 熊骁跃, 万昶, 等. 计及电-碳交易与综合贡献率的多微网合作运行优化策略[J]. 电网技术, 2024, 48(8): 3258-3268, I0069-I0076.

徐睿婕, 任永峰, 祝荣, 等. 基于绿证-碳交易交互机制与合作博弈理论的IES系统低碳经济调度[J]. 太阳能学报, 2024, 45(9): 91-100.

陈倩, 王维庆, 王海云. 计及需求响应和混合博弈含多微网主动配电网协调优化[J]. 电力系统自动化, 2023, 47(9): 99-109.

王泽淇, 贾燕冰, 韩肖清, 等. 考虑产消者响应与不确定性的微能网双层混合博弈优化[J]. 电网技术, 2024, 48(7): 2754-2764.

YANG D F, HE Z Q, SUN Y, et al.Optimised operation of integrated community energy system considering integrated energy pricing strategy: a two-layer Stackelberg game approach[J]. Journal of energy storage, 2024, 87: 111383.

陈乐飞, 朱自伟, 王凯, 等. 基于混合博弈的配电网与多综合能源微网优化运行[J]. 电网技术, 2023, 47(6): 2229-2238.

崔明勇, 宣名阳, 卢志刚, 等. 基于合作博弈的多综合能源服务商运行优化策略[J]. 中国电机工程学报, 2022, 42(10): 3548-3564.

ALOWAIFEER M, ALKHRAIJAH M, SAKIS MELIOPOULOS A P, et al. Grid services optimization from multiple microgrids[J]. IEEE transactions on smart grid, 2022, 13(1): 8-19.

陈俊先, 贾燕冰, 韩肖清, 等. 考虑需求侧碳交易机制的多微能网分布式协同优化调度[J]. 电网技术, 2023, 47(6): 2196-2206.

王常乐, 刘海涛, 窦真兰, 等. 基于园区IES购电方案优化的低碳运行模型[J]. 高电压技术, 2023, 49(4): 1441-1454.

周特, 薛云飞, 季节, 等. 考虑电力间接碳排放不确定性的电-冷-热综合能源系统两阶段鲁棒优化方法[J]. 电网技术, 2024, 48(1): 50-60.

TZIOVANI L, HADJIDEMETRIOU L, KOLIOS P, et al.Energy management and control of photovoltaic and storage systems in active distribution grids[J]. IEEE transactions on power systems, 2022, 37(3): 1956-1968.

吕超贤, 邢润发, 梁睿, 等. 考虑多维联动碳减排策略的多微网配电系统分层分布式调度[J]. 电网技术, 2026, 50(1): 92-101.

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