考虑氢储能的富氧燃烧碳捕集电厂热电联合优化调度

doi:10.11930/j.issn.1004-9649.202406029

中国电力 ›› 2025, Vol. 58 ›› Issue (4): 159-169.DOI: 10.11930/j.issn.1004-9649.202406029

• 面向新型电力系统的智慧用能优化与控制 • 上一篇下一篇

考虑氢储能的富氧燃烧碳捕集电厂热电联合优化调度

邓卜元¹(), 袁至¹(), 李骥²

1. 新疆大学可再生能源发电与并网控制教育部工程研究中心，新疆乌鲁木齐　830017
2. 国网新疆电力有限公司电力科学研究院，新疆乌鲁木齐　830011

收稿日期:2024-06-07 录用日期:2024-09-05 发布日期:2025-04-23 出版日期:2025-04-28
作者简介:
邓卜元（1999），男，硕士研究生，从事碳捕集电厂优化调度研究，E-mail：1813979778@qq.com
袁至（1984），男，通信作者，博士，副教授，从事可再生能源发电与并网控制研究，E-mail：yzisthecure@163.com
基金资助:
国家自然科学基金资助项目（52367024）；新疆维吾尔自治区重大科技专项项目（2022A01004-1）。

Optimized Coordinated Scheduling of Oxy-Fuel Combustion Carbon Capture Combined Heat and Power Plant Considering Hydrogen Energy Storage

DENG Buyuan¹(), YUAN Zhi¹(), LI Ji²

1. Engineering Research Center of Renewable Energy Power Generation and Grid-Connected Control, Ministry of Education, Xinjiang University, Urumqi 830017, China
2. Electric Power Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China

Received:2024-06-07 Accepted:2024-09-05 Online:2025-04-23 Published:2025-04-28
Supported by:
This work is supported by National Natural Science Foundation of China (No.52367024); Xinjiang Uygur Autonomous Region Major Science and Technology Special Project (No.2022A01004-1).

摘要/Abstract

摘要：

随着新能源装机规模不断扩大，传统碳捕集热电厂因承担供热任务而存在碳捕集效率低、调节能力不足的现象。为了促进新能源消纳和减少碳排放，同时提升热电厂的调峰能力，构建一种氢储能与富氧燃烧碳捕集机组联合运行模型，并进行低碳经济优化调度。首先，分析富氧燃烧碳捕集与氢储能协调运行机理，并构建系统架构；其次，计及空分制氧与氢储能氧气回收，分别建立富氧燃烧碳捕集机组与氢储能系统模型；最后，通过碳交易和调峰辅助服务市场提升电厂降碳、调峰主动性，以系统运行成本最优为目标，建立考虑氢储能的富氧燃烧碳捕集电厂优化调度模型。算例结果表明，所提模型不但可以有效提高系统低碳性与经济性，还可以提升热电厂的调节能力，促进新能源消纳。

关键词: 热电联产, 富氧燃烧碳捕集, 氢储能, 碳交易, 深度调峰

Abstract:

As renewable energy installation scales up, traditional carbon capture combined heat and power plants face challenges such as low carbon capture efficiency and inadequate regulatory capacity due to their heating supply obligations. In order to promote renewable energy integration and reduce carbon emissions while enhancing the peak regulation capabilities of these plants, this study constructs a joint operational model integrating hydrogen energy storage with oxy-fuel combustion carbon capture units, focusing on low-carbon economic dispatch. The paper first investigates the coordination mechanisms of oxy-fuel combustion carbon capture and hydrogen energy storage, establishing a system architecture. It then considers oxygen production from air separation and oxygen recovery from hydrogen storage, developing separate models for oxy-fuel combustion carbon capture units and hydrogen energy storage systems. Finally, leveraging carbon trading and peak regulation auxiliary service markets to enhance carbon reduction and peak regulation initiatives of power plants, the study aims to optimize system operating costs, establishing a low-carbon economic dispatch model for oxy-fuel combustion carbon capture plants integrated with hydrogen energy storage. Case study results demonstrate that the proposed model not only effectively improves system carbon efficiency and economic performance but also enhances the regulatory capabilities of combined heat and power plants, facilitating renewable energy integration.

Key words: combined heat and power, oxy-fuel combustion carbon capture, hydrogen energy storage, carbon trading, deep peak shaving

邓卜元, 袁至, 李骥. 考虑氢储能的富氧燃烧碳捕集电厂热电联合优化调度[J]. 中国电力, 2025, 58(4): 159-169.

DENG Buyuan, YUAN Zhi, LI Ji. Optimized Coordinated Scheduling of Oxy-Fuel Combustion Carbon Capture Combined Heat and Power Plant Considering Hydrogen Energy Storage[J]. Electric Power, 2025, 58(4): 159-169.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202406029

https://www.electricpower.com.cn/CN/Y2025/V58/I4/159

图/表 12

图 1 电厂等效输出功率对比

Fig.1 Comparison of equivalent output of power plants

图 2 富氧燃烧碳捕集机组与氢储能协调运行框架

Fig.2 Framework for coordinated operation of oxy-fuel carbon capture unit and hydrogen energy storage

图 3 CHP热电运行区域

Fig.3 Heat-electricity operating characteristics of CHP

表 1 富氧燃烧碳捕集技术基本参数

Table 1 Basic parameters of oxy-fuel capture technology

参数	数值	参数	数值
$ \delta $/((MW·h)·t^–1)	0.0893	${\zeta _{{\text{ASU}}}}$/(元·(MW·h)^–1)	40
$\chi $/(m³·MW^–1)	600	$ {\zeta _{{\text{CPU}}}} $/(元·(MW·h)^–1)	40
${\alpha _{\max }}$/%	98	$\beta $/((kW·h)·m^–3)	0.303

表 2 氢储能参数

Table 2 Hydrogen energy storage parameters

参数	数值	参数	数值
电解槽容量/MW	50	燃料电池容量/MW	50
电解槽效率/%	70	燃料电池效率/%	70
电解槽运维成本/(元·m^–3)	22	燃料电池运维成本/(元·m^–3)	100

图 4 系统功率预测曲线

Fig.4 System power prediction curve

表 3 场景信息

Table 3 Scenario information

运行场景	燃烧后碳捕集	富氧燃烧碳捕集	氢储能
1	√	×	×
2	×	√	×
3	×	√	√

表 4 各场景系统运行成本

Table 4 System operating costs in each scenario

场景	成本/元						碳排放量/t	风光消纳率/%
场景	煤耗	运维	CO₂运封	碳交易	调峰	总计	碳排放量/t	风光消纳率/%
1	1536336	198385	104495	–456242	–151593	1231381	1016.25	90.71
2	1520833	234605	119066	–512925	–196595	1164984	496.81	95.57
3	1494158	221964	129578	–552167	–237718	1057062	88.15	100.00

图 5 电负荷基本调度

Fig.5 Basic dispatch of electrical loads

图 6 热负荷基本调度

Fig.6 Basic scheduling of heat loads

图 7 各场景电厂设备出力情况

Fig.7 The output of power plant equipment in each scenario

图 8 场景2和场景3氧气供求情况

Fig.8 Oxygen supply and demand in scenarios 2 and 3

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考虑氢储能的富氧燃烧碳捕集电厂热电联合优化调度

Optimized Coordinated Scheduling of Oxy-Fuel Combustion Carbon Capture Combined Heat and Power Plant Considering Hydrogen Energy Storage

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考虑氢储能的富氧燃烧碳捕集电厂热电联合优化调度

Optimized Coordinated Scheduling of Oxy-Fuel Combustion Carbon Capture Combined Heat and Power Plant Considering Hydrogen Energy Storage

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