考虑氢能循环和EMC碳捕集技术的多能互补虚拟电厂低碳经济调度

吉用丽; 李伟; 徐青山; 钱海亚; 王鹏宇

doi:doi:10.19912/j.0254-0096.tynxb.2024-1919

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考虑氢能循环和EMC碳捕集技术的多能互补虚拟电厂低碳经济调度

更新时间：2026-04-08

- 考虑氢能循环和EMC碳捕集技术的多能互补虚拟电厂低碳经济调度
- Vol. 47, Issue 3, Pages: 99-110(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1919
  CLC： TM732
- Online First：07 April 2026，
  
  Published：2026
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吉用丽, 李伟, 徐青山, et al. 考虑氢能循环和EMC碳捕集技术的多能互补虚拟电厂低碳经济调度[J]. 2026, 47(3): 99-110.
DOI：

吉用丽, 李伟, 徐青山, et al. 考虑氢能循环和EMC碳捕集技术的多能互补虚拟电厂低碳经济调度[J]. 2026, 47(3): 99-110. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1919.

摘要

为适应能源绿色低碳转型发展进程

针对含综合能源的多能互补虚拟电厂（VPP）

提出一种考虑氢能循环和电解熔融盐（EMC）碳捕集技术的虚拟电厂低碳优化调度方法。首先

构建含电解槽、甲烷反应器、掺氢机组、氢燃料电池（HFC）和储氢罐的氢循环系统

覆盖制氢、储氢及用氢多环节

以充分挖掘氢能与电能、热能的互联潜力。其次

引入EMC技术

建立含燃气轮机-有机朗肯循环（ORC）低温余热发电装置-余热锅炉的EMC碳捕集电厂。最后

综合考虑电动汽车、替代响应负荷、空调负荷等虚拟储能与固定储能的协同作用以及不同类型储能响应性能的差异

提出虚拟电厂的日前-实时优化调度模型

提高虚拟电厂的运行灵活性。算例分析表明

所提方法能有效促进新能源消纳

降低虚拟电厂的运行成本与碳排放水平

实现能源综合利用效率的提升。

Abstract

To adapt to the green and low-carbon energy transition

this paper proposes a low-carbon optimal scheduling method for a multi-energy complementary virtual power plant （VPP） considering hydrogen energy cycle and electrolytic molten carbonate （EMC） carbon capture technology. First

a hydrogen cycle system including the electrolyzer

methane reactor

hydrogen-blended unit

hydrogen fuel cell （HFC）

and hydrogen storage tank is constructed. This system covers multiple stages of hydrogen production

storage

and utilization to fully explore the interconnected potential of hydrogen energy with electrical and thermal energy. Second

EMC technology is introduced to establish an EMC carbon capture power plant that incorporates the gas turbine

an organic Rankine cycle （ORC） low-temperature waste heat power generation unit

and waste heat boiler. Finally

considering the synergy between virtual and fixed energy storage

such as electric vehicles

alternative response loads

and air conditioning loads

as well as the differences in response performances among various storage types

a day-ahead and real-time optimal scheduling model for VPP is proposed to improve the operational flexibility. Case studies show that the proposed method can effectively facilitate renewable energy integration

reduce operating costs and carbon emissions

and enhance overall energy utilization efficiency.

关键词

Keywords

references

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