碳-绿证联合交易机制下多微网系统多能源互济优化调度模型研究

蒋程宇; 师瑞峰; 宁津; 贾利民

doi:doi:10.19912/j.0254-0096.tynxb.2024-1812

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碳-绿证联合交易机制下多微网系统多能源互济优化调度模型研究

更新时间：2026-03-06

- 碳-绿证联合交易机制下多微网系统多能源互济优化调度模型研究
- Vol. 47, Issue 2, Pages: 334-344(2026)
- 作者机构：
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- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1812
  CLC： TM919
- Online First：05 March 2026，
  
  Published：05 March 2026
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蒋程宇, 师瑞峰, 宁津, et al. 碳-绿证联合交易机制下多微网系统多能源互济优化调度模型研究[J]. 2026, 47(2): 334-344.
DOI：

蒋程宇, 师瑞峰, 宁津, et al. 碳-绿证联合交易机制下多微网系统多能源互济优化调度模型研究[J]. 2026, 47(2): 334-344. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1812.

摘要

为提高微电网系统可再生能源利用率

利用多微网间能源互联互济实现弃风弃光与碳排放的缩减

提出一种基于考虑碳-绿证交易机制的区域热网和电网多微网联合系统的低碳优化调度模型。首先

梳理电、热耦合多微网互济应用场景的微电网数学模型;接着

在引入碳-绿证联合交易机制的基础上构建以系统综合成本最低为目标的电-热耦合多微网互济系统规划模型

并提出采用CPLEX求解工具混合整数规划方法求解的优化策略;最后

通过中国西部典型场景的应用案例对模型有效性进行验证。研究结果表明

构建的模型方法可有效提高多微网联合系统的可再生能源消纳能力

减少系统碳排放

实现系统整体最优的经济性。

Abstract

To enhance the utilization rate of renewable energy in microgrid systems and achieve reductions in both wind and solar curtailment as well as carbon emissions through energy interconnection among multiple microgrids

this paper proposes a low-carbon optimal scheduling model for a multi-microgrid system that integrates regional thermal and electrical networks

incorporating a carbon-green certificate trading mechanism. Firstly

the mathematical model of microgrids in the context of electrical-thermal coupled multi-microgrid interconnection scenarios is systematically analyzed. Then

based on the introduction of the carbon-green certificate trading mechanism

a planning model for the electrical-thermal coupled multi-microgrid interconnection system is developed

with the objective of minimizing the overall system cost. An optimization strategy using the mixed-integer programming method solved by the CPLEX solver is proposed. Finally

the model’s effectiveness is validated through a case study of a typical scenario in western China. The research findings demonstrate that the proposed model can effectively enhance the renewable energy absorption capacity of the multi-microgrid system

reduce carbon emissions

and achieve optimal overall system economic performance.

关键词

Keywords

references

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