Hybrid Game Strategy for Microgrid-Multiple EV Aggregators Considering Low-carbon Economic Operation

XU Hanchen; LI Xin; WU Wenxian; MA Jiawei; ZHAO Ziheng; WU Huimin; WANG Mingshen

doi:10.20204/j.sp.2026.03013

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Hybrid Game Strategy for Microgrid-Multiple EV Aggregators Considering Low-carbon Economic Operation

更新时间：2026-04-08

- Hybrid Game Strategy for Microgrid-Multiple EV Aggregators Considering Low-carbon Economic Operation
- Vol. 54, Issue 3, Pages: 108-115(2026)
- 作者机构：
  
  1. 1.国网无锡供电公司,江苏,无锡,214000
  2. 南京工程学院,江苏,南京,211167
- 作者简介：
- 基金信息：
- DOI：10.20204/j.sp.2026.03013
  CLC：
- Published：2026
- 稿件说明：
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许翰宸,李欣,吴文娴,马佳炜,赵紫恒,於慧敏,王明深.计及低碳经济运行的微电网-多EV聚合商混合博弈策略[J].智慧电力,2026,54(3):108-115.

doi:10.20204/j.sp.2026.03013
许翰宸,李欣,吴文娴,马佳炜,赵紫恒,於慧敏,王明深.计及低碳经济运行的微电网-多EV聚合商混合博弈策略[J].智慧电力,2026,54(3):108-115. DOI： 10.20204/j.sp.2026.03013.

doi:10.20204/j.sp.2026.03013 DOI：

摘要

在“双碳”目标驱动能源结构低碳转型的背景下，针对规模化电动汽车（EV）接入所引发的多主体利益冲突、充电负荷不确定性及低碳交易机制复杂等问题，提出一种计及低碳经济运行的微电网（MG）-多EV聚合商混合博弈调度策略。首先，建立基于绿色电力证书与碳排放权融合的交易机制成本模型，将绿色价值与碳排放成本内部化，以激励主体低碳减排与绿电消纳。其次，考虑快、慢充EV的差异化用能特性，通过构造负荷可调边界，建立计及用户出行不确定性的集群可调度潜力模型。进而，融合纵向主从博弈与横向合作博弈，构建考虑纳什谈判的MG-多EV聚合商混合博弈模型。算例分析结果表明，所提策略在降低系统碳排放、提高整体运行经济性、促进新能源就地消纳等方面具有显著优势，实现了MG与多EV聚合商的互利共赢。

Abstract

Driven by the “dual carbon” goal promoting the low-carbon transformation of the energy structure

and addressing challenges such as multi-stakeholder conflicts of interest

uncertainty in charging loads

and the complexity of low-carbon trading mechanisms caused by the large-scale integration of electric vehicles (EVs)

a microgrid (MG)-multiple EV aggregator hybrid game scheduling strategy considering low-carbon economic operation is proposed. Firstly

a cost model for a trading mechanism integrating green electricity certificates and carbon emission allowances is established. This model internalizes the green value and carbon emission costs to incentivize stakeholders towards low-carbon emission reduction and green power consumption. Secondly

considering the differentiated energy consumption characteristics of fast and slow charging EVs

a cluster schedulable potential model accounting for user travel uncertainty is developed by constructing load adjustable boundaries. Furthermore

by integrating vertical Stackelberg games and horizontal cooperative games

a Nash negotiation-based MG-multiple EV aggregator hybrid game model is constructed. Case study results demonstrate that the proposed strategy offers significant advantages in reducing system carbon emissions

improving overall operational economy

and promoting the local consumption of renewable energy

thereby achieving mutual benefits and a win-win situation for the MG and multiple EV aggregators.

关键词

Keywords

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