动态碳交易下对接轨道交通供电系统的含氢综合能源系统协同优化

谭俊丰; 张凡; 赵帅; 黄彦璐; 周伟; 来金钢

doi:10.19912/j.0254-0096.tynxb.2025-0105

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动态碳交易下对接轨道交通供电系统的含氢综合能源系统协同优化

更新时间：2026-07-22

- 动态碳交易下对接轨道交通供电系统的含氢综合能源系统协同优化
- Vol. 47, Issue 6, Pages: 21-33(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2025-0105
  CLC： TM73
- Online First：08 July 2026，
  
  Published：2026
- 稿件说明：
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谭俊丰, 张凡, 赵帅, et al. 动态碳交易下对接轨道交通供电系统的含氢综合能源系统协同优化[J]. 2026, 47(6): 21-33.
DOI：

谭俊丰, 张凡, 赵帅, et al. 动态碳交易下对接轨道交通供电系统的含氢综合能源系统协同优化[J]. 2026, 47(6): 21-33. DOI： 10.19912/j.0254-0096.tynxb.2025-0105.

摘要

为实现智慧综合能源系统（IES）与轨道交通供电系统的智能化互联互动

降低双方供用能成本

同时提升多能流耦合系统供能低碳性和轨道交通用能低碳性

提出一种计及动态阶梯型碳交易机制的含氢IES与轨道交通供电系统协同优化策略。首先

基于IES内的可再生能源和电负荷水平

提出一种考虑动态价格增长率的分段阶梯式碳交易模型

强化碳成本约束的动态性与精准性

为系统低碳调度提供强经济激励。接着

融合燃气轮机（GT）和氢燃料电池（HFC）的电、热输出特性

以卡琳娜（Kalina）循环为中间媒介

将传统热电联产（CHP）模式与氢能产消机组进行深度耦合

设计兼具高效供能与灵活制/储/用氢能力的氢能产消一体化单元

提升能源供给侧的多维灵活性。然后

建立接入轨道交通供电系统的含氢IES协同优化模型

实现轨道交通用能与多异质供能单元的跨系统联合优化

全面挖掘系统低碳经济运行潜力。算例结果表明

所提策略可有效兼顾多能源系统调度的低碳性、经济性以及供能的灵活性

能够为IES与轨道交通供电系统协同运行提供参考。

Abstract

To realize the intelligent interconnection and interaction between the intelligent integrated energy system （IES） and the power supply system of rail transit

a synergistic optimization strategy for the hydrogen-containing IES and the power supply system of rail transit is proposed based on the dynamic ladder-type carbon trading mechanism. This strategy can reduce the cost of energy supply and utilization

while enhancing the low-carbon energy supply of the multi-flow coupling system and the low-carbon energy consumption of the rail transit system. Firstly

a dynamic ladder-type carbon trading model is designed based on the level of renewable energy and loads in IES. Secondly

according to the electric and thermal output characteristics of gas turbine （GT） and hydrogen fuel cell （HFC）

the traditional combined heat and power （CHP） unit and hydrogen energy unit are coupled by the Kalina cycle to develop a hydrogen-containing flexible energy supply unit

which can enhance the flexibility of the energy supply. Then

a hydrogen-containing IES collaborative optimization model connecting to the power supply system of rail transit is established to achieve cross-system joint optimization of rail transit energy consumption and multiple heterogeneous energy supply units

fully exploring the low-carbon economic operation potential of the system. Simulation results show that the proposed strategy can effectively balance the low-carbon economy and flexibility of multi-energy system scheduling

which can provide references for the synergistic operation of IES and power supply system of rail transit.

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references

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