阶梯式碳交易下含氢综合园区的双层优化配置

侯锡春; 刘立群

doi:10.19725/j.cnki.1007-2322.2024.0066

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阶梯式碳交易下含氢综合园区的双层优化配置

能源互联网 | 更新时间：2026-06-02

- 阶梯式碳交易下含氢综合园区的双层优化配置
- Dual-layer Optimal Configuration for Hydrogen-containing Integrated Parks Under Stepwise Carbon Trading
- 现代电力 2026年43卷第3期页码：484-491
- 作者机构：
  
  太原科技大学电子信息工程学院,山西省,太原市,030024
- 作者简介：
  
  侯锡春(1999)，男，硕士研究生，研究方向为综合能源系统优化，E-mail：1835034121@qq.com
  刘立群(1976)，男，博士，教授，通信作者，研究方向为智能电网、光伏发电、风力发电及其混合发电系统，E-mail：llqd2004@163.com
- 基金信息：
  
  山西省基础研究计划(面上项目)(202203021221153)。
- DOI：10.19725/j.cnki.1007-2322.2024.0066
  中图分类号： 3
- 纸质出版：2026
- 稿件说明：
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侯锡春, 刘立群. 阶梯式碳交易下含氢综合园区的双层优化配置[J]. 现代电力, 2026,43(3):484-491.

HOU Xichun, LIU Liqun. Dual-layer Optimal Configuration for Hydrogen-containing Integrated Parks Under Stepwise Carbon Trading[J]. 2026, 43(3): 484-491.
侯锡春, 刘立群. 阶梯式碳交易下含氢综合园区的双层优化配置[J]. 现代电力, 2026,43(3):484-491. DOI： 10.19725/j.cnki.1007-2322.2024.0066.

HOU Xichun, LIU Liqun. Dual-layer Optimal Configuration for Hydrogen-containing Integrated Parks Under Stepwise Carbon Trading[J]. 2026, 43(3): 484-491. DOI： 10.19725/j.cnki.1007-2322.2024.0066.

摘要

为更好地优化综合园区内部运行的低碳性和经济性，提出一种阶梯碳交易下含氢综合园区的双层优化配置模型。首先，设立储热和储氢系统作为单独的储能投资方，并且结合阶梯式碳交易模型与园区进行能量之间的转换；其次，上层以综合能源园区日运行能量消耗作为目标函数，下层以独立氢、热储能规划成本作为目标函数，搭建容量双层优化配置模型，采用KKT条件对双层模型进行整合，并利用大M法进行线性化后，使用求解器Gurobi进行求解。算例结果表明，将储能作为独立投资方参与园区运行优化，能够有效降低系统运行产生的碳排放，同时在减少园区建设成本的基础上增加储能收益，实现了低碳性与经济性的双重目标。

Abstract

A dual-layer optimization configuration model for hydrogen-containing comprehensive integrated parks under a steppedwise carbon trading scheme has been is proposed to better enhance optimize the low-carbon and economic operation within the comprehensive park. Firstly

heat storage and hydrogen storage systems are set up as individual energy storage investors

which are integrated with the stepwise carbon trading model to achieve and energy conversion is carried out by combining the stepped carbon trading model with the park. Secondly

the daily operation energy consumption of the comprehensive integrated energy park is taken as the upper objective function

and while the lower level is selected taken as the independent hydrogen and thermal energy storage planning cost as the objective function. In this way

to build a double-layer capacity optimization configuration model is established. The KKT constraints are used utilized to integrate the double-layer model and the large M method is employed for linearizedation

and then. Subsequently

the solver Gurobi is used to solve the problem. The calculation results show demonstrate that the energy storage as a separate sole investor to optimize the operation of the park can effectively reduce the carbon emissions released by during the system operation. In addition

it can economically reduce the construction costs of the park system while increasing energy storage revenues

thereby achieving the goals of both low-carbon and economic efficiency.

关键词

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references

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