考虑碳减排能力提升的综合能源系统协调优化模型

李政平; 薛涵今; 刘骏发; 徐峥; 吴仲非

doi:doi:10.19912/j.0254-0096.tynxb.2024-2226

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考虑碳减排能力提升的综合能源系统协调优化模型

更新时间：2026-07-22

- 考虑碳减排能力提升的综合能源系统协调优化模型
- Vol. 47, Issue 4, Pages: 152-160(2026)
- 作者机构：
- 作者简介：
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- DOI：doi:10.19912/j.0254-0096.tynxb.2024-2226
  CLC： TM73
- Online First：08 May 2026，
  
  Published：2026
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李政平, 薛涵今, 刘骏发, et al. 考虑碳减排能力提升的综合能源系统协调优化模型[J]. 2026, 47(4): 152-160.
DOI：

李政平, 薛涵今, 刘骏发, et al. 考虑碳减排能力提升的综合能源系统协调优化模型[J]. 2026, 47(4): 152-160. DOI： doi:10.19912/j.0254-0096.tynxb.2024-2226.

摘要

为提高综合能源系统的经济性和碳减排能力

提出一种考虑碳排放流与能量流耦合关系的综合能源系统运行优化模型。首先

考虑综合能源系统的动态特性

提出综合能源系统排放流与能量流耦合模型;之后

以综合能源系统的碳减排成本最低为目标

建立考虑碳减排能力提升的综合能源系统协调优化模型;然后

采用乐观探索策略对传统SAC算法进行改进

采用OAC算法对综合能源系统协调优化模型进行离线训练和在线求解;最后

通过仿真算例验证提出的考虑碳减排能力提升的综合能源系统协调优化模型与传统的调度模型相比

可有效提升综合能源系统的经济性和碳减排能力。

Abstract

In order to improve the economy and carbon emission reduction capacity of integrated energy system

an operation optimization model of integrated energy system considering the coupling relationship between carbon emission flow and energy flow is proposed. Firstly

considering the dynamic characteristics of the integrated energy system

a coupling model of emission flow and energy flow of the integrated energy system is proposed. Secondly

aiming at the lowest operating cost and carbon emission reduction cost of the integrated energy system

a coordinated optimization model of the integrated energy system considering the improvement of carbon emission reduction capacity is established. Then

the optimistic exploration strategy is used to improve the traditional SAC algorithm

and the OAC algorithm is used to train and solve the coordinated optimization model of the integrated energy system offline and online. Finally

a simulation example is given to verify that the coordinated optimization model of integrated energy system considering the improvement of carbon emission reduction capacity proposed in this paper can effectively improve the economy and carbon emission reduction capacity of integrated energy system compared with the traditional scheduling model.

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references

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