计及合作博弈的多微网与配电网电碳耦合双层低碳调度策略研究

王长刚; 张向炜; 曹宇; 梁栋; 李扬; 莫静山

doi:doi:10.19912/j.0254-0096.tynxb.2024-1606

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计及合作博弈的多微网与配电网电碳耦合双层低碳调度策略研究

更新时间：2025-12-02

- 计及合作博弈的多微网与配电网电碳耦合双层低碳调度策略研究
- Vol. 46, Issue 6, Pages: 32-48(2025)
- 作者机构：
- 作者简介：
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- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1606
  CLC： TM73
- Published Online：07 July 2025，
  
  Published：2025
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王长刚, 张向炜, 曹宇, et al. 计及合作博弈的多微网与配电网电碳耦合双层低碳调度策略研究[J]. 2025, 46(6): 32-48.
DOI：

王长刚, 张向炜, 曹宇, et al. 计及合作博弈的多微网与配电网电碳耦合双层低碳调度策略研究[J]. 2025, 46(6): 32-48. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1606.

摘要

为推进“双碳”目标的实现

充分发挥微网负荷侧的低碳减排潜力

进一步促进可再生能源消纳和优化系统碳排放流计算

提出一种计及合作博弈的多微网系统与配电网电碳耦合的双层低碳调度策略。首先

考虑储能充放电行为对碳排放流的影响

建立储能碳排模型

并将碳流分析纳入多微网负荷侧需求响应模型中

搭建考虑节点碳势的配电网-多微网双层调度模型

上层模型解决配电网最优经济调度问题

下层模型综合考虑多微网综合能源系统中各微网运营商和用户的利益诉求。设计基于节点碳势的碳交易机制下

多个微网运营商与代表整个多微网用户侧利益的负荷聚合商之间的联合运行模型。其次在此基础上

应用纳什议价理论

实现多微网运营商和负荷聚合商之间的能量交互和合作运行。证明纳什议价模型能够最小化运行成本后

将问题分解成两个子问题

并采用交替方向乘子法分别求解

从而实现多微网联盟的最优低碳经济调度。最后

将模型应用于改进的IEEE 33节点系统

结果证明所提方法能够成功将碳排放责任从源侧归算到负荷侧

且可有效描述各利益主体在碳交易市场中的博弈与竞争动态

提高系统的低碳性和经济性。

Abstract

To advance the achievement of dual carbon goals and fully utilize the low-carbon potential of the microgrid load side

this paper proposes a bi-level low-carbon dispatch strategy for the power-carbon coupling of multi-microgrid systems and distribution networks

considering cooperative game theory. Firstly

to consider the impact of energy storage charging and discharging on carbon emissions

a carbon emission model for storage systems is established

integrating carbon flow analysis into the demand response model on the load side of the microgrids. A bi-level dispatch model

considering node carbon potential

is constructed

where the upper-level model addresses optimal economic dispatch for the distribution network

and the lower-level model incorporates the interests of microgrid operators and users within integrated energy systems. A joint operation model is designed under a carbon trading mechanism based on node carbon potential

facilitating cooperation between multiple microgrid operators and an aggregator representing the interests of all microgrid users. Secondly

leveraging Nash bargaining theory

energy interactions and cooperative operations between microgrid operators and the load aggregator are achieved. After demonstrating that the Nash bargaining model can minimize operational costs

the problem is decomposed into two sub-problems and solved using the alternating direction multiplier method（ADMM）

achieving optimal low-carbon economic dispatch for the microgrid coalition. Finally

the model is applied to a modified IEEE 33-node system

and results demonstrate that the proposed approach effectively reallocates carbon emission responsibilities from the source side to the load side. It also accurately reflects the dynamics of competition and cooperation among stakeholders in the carbon trading market

enhancing both the low-carbon profile and economic efficiency of the system.

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