基于富氧燃烧技术的综合能源两阶段鲁棒低碳经济优化

doi:10.11930/j.issn.1004-9649.202504038

中国电力 ›› 2025, Vol. 58 ›› Issue (7): 24-37.DOI: 10.11930/j.issn.1004-9649.202504038

• 规模化综合能源系统规划与运行技术 • 上一篇下一篇

基于富氧燃烧技术的综合能源两阶段鲁棒低碳经济优化

赵均祥¹(), 文中¹(), 王秋杰¹^,²(), 张业伟³

1. 三峡大学电气与新能源学院，湖北宜昌　443002
2. 新能源微电网湖北省协同创新中心（三峡大学），湖北宜昌　443002
3. 国网宿州市城郊供电公司，安徽宿州 234000

收稿日期:2025-04-17 发布日期:2025-07-30 出版日期:2025-07-28
作者简介:
赵均祥（1998），男，通信作者，硕士研究生，从事综合能源系统优化运行研究，E-mail：zjxctgu@163.com
文中（1968），男，硕士，副教授，从事综合能源系统、电力系统运行与控制技术研究，E-mail：812322399@qq.com
王秋杰（1988），男，讲师，博士，从事综合能源系统运行与规划、弹性配电网等研究，E-mail：wangqiujie@ctgu.edu.cn
基金资助:
湖北省自然科学基金创新发展联合项目（2024AFD362）。

Two-Stage Robust Low-Carbon Economic Optimization for Integrated Energy System Based on Oxy-Fuel Combustion Technology

ZHAO Junxiang¹(), WEN Zhong¹(), WANG Qiujie¹^,²(), ZHANG Yewei³

1. College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China
2. Hubei Provincial Collaborative Innovation Center for New Energy Microgrid (China Three Gorges University), Yichang 443002, China
3. State Grid Suzhou Suburban Power Supply Compangy, Suzhou 234000, China

Received:2025-04-17 Online:2025-07-30 Published:2025-07-28
Supported by:
This work is supported by Hubei Provincial Natural Science Foundation Innovation and Development Joint Fund Project (No.2024AFD362).

摘要/Abstract

摘要：

在“双碳”目标持续推进与综合能源系统运行不确定性不断增强的双重背景下，实现低碳与鲁棒调度已成为关键挑战。面向风电和负荷波动下的低碳调度问题，构建融合富氧燃烧碳捕集（oxy-fuel combustion carbon capture，OXYCC）、燃气掺氢与奖惩阶梯式碳交易机制的低碳协同优化模型，并引入两阶段鲁棒优化方法以增强系统在不确定条件下的调度可行性与稳定性。采用列与约束生成算法（column-and-constraint generation，C&CG）提升模型求解效率。仿真结果表明，所提模型可使碳排放量降低29.99%，系统成本减少16.11%；在多源波动与扰动情形下仍保持良好运行性能，验证了该策略在低碳性与鲁棒性双重目标下的有效性与工程适用性。

关键词: 综合能源系统, 富氧燃烧, 掺氢, 奖惩阶梯式碳交易, 两阶段鲁棒优化

Abstract:

Against the dual backdrop of steadily advancing the "dual carbon" goals and increasing operational uncertainties in integrated energy systems (IES), achieving low-carbon and robust scheduling has become a critical challenge. To address the low-carbon scheduling problem under wind power and load fluctuations, this paper developed a coordinated optimization model that integrates Oxy-fuel combustion carbon capture (OXYCC), hydrogen blending and reward-penalty tiered carbon trading mechanism, and a two-stage robust optimization approach was introduced to enhance the system’s scheduling feasibility and operational stability under uncertainties. The column-and-constraint generation (C&CG) algorithm was employed to improve the model’s computational efficiency. Simulation results show that the proposed model achieves a 29.99% reduction in carbon emissions and a 16.11% decrease in system operational costs, and also maintains strong performance under multi-source fluctuations and disturbances, which verifies its effectiveness and practical applicability in addressing dual objectives of low-carbon operation and robust scheduling.

Key words: integrated energy systems, oxy-fuel combustion, hydrogen blending, reward-penalty tiered carbon trading, two-stage robust optimization

赵均祥, 文中, 王秋杰, 张业伟. 基于富氧燃烧技术的综合能源两阶段鲁棒低碳经济优化[J]. 中国电力, 2025, 58(7): 24-37.

ZHAO Junxiang, WEN Zhong, WANG Qiujie, ZHANG Yewei. Two-Stage Robust Low-Carbon Economic Optimization for Integrated Energy System Based on Oxy-Fuel Combustion Technology[J]. Electric Power, 2025, 58(7): 24-37.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202504038

https://www.electricpower.com.cn/CN/Y2025/V58/I7/24

图/表 22

图 1 IES系统框架

Fig.1 Structure of IES

图 2 OECP能流图

Fig.2 Energy flow diagram of OECP

图 3 求解流程

Fig.3 Solution process

表 1 分时电价

Table 1 Time-of-use tariffs

时段	电价/(元·(kW·h)^–1)	时段类型
00:00—07:00	0.38	谷
22:00—24:00	0.38	谷
07:00—11:00	0.68	平
14:00—18:00	0.68	平
11:00—14:00	1.20	峰
18:00—22:00	1.20	峰

表 2 OECP设备参数

Table 2 OECP device parameters

参数		数值
GU电效率		0.65
GU热电比		1
GU单位耗氧量/(m³·(kW·h)^–1)		0.6
碳捕集水平		0.98
碳捕集单位运行能耗/((kW·h)·kg^–1)		0.0893
ASU耗氧系数/(m³·(kW·h)^–1)		0.303
GU功率上限/kW		600
ASU功率上限/kW		100

表 3 系统设备参数

Table 3 System device parameters

参数		数值
电转氢效率		0.87
氧氢比		0.5
EL功率上限/kW		1000
氢气热值/(J·kg^–1)		3.56
天然气热值/(J·kg^–1)		10
MR转换效率		0.6
MR单位耗碳量/(kg·(kW·h)^–1)		1.997
MR功率上限/kW		600
HFC电效率		0.6
HFC热效率		0.35
HFC功率上限/kW		500
GT电效率		0.35
GT热电比		0.6/0.35
GT功率上限/kW		600
GB热效率		0.88
GB功率上限/kW		500
储能充、放电效率		0.95、0.95
储能容量/(kW·h)		1000

表 4 设备运维参数

Table 4 Equipment operation and maintenance parameters

参数		数值
EL运维系数/(元·kW^–1)		0.022
MR运维系数/(元·kW^–1)		0.170
HFC运维系数/(元·kW^–1)		0.100
GU运维系数/(元·kW^–1)		0.025
GT运维系数/(元·kW^–1)		0.045
GB运维系数/(元·kW^–1)		0.003
ASU运维系数/(元·kW^–1)		0.020
CCS运维系数/(元·kW^–1)		0.014
EES/TES运维系数/(元·kW^–1)		0.018
GS/HS/OS运维系数/(元·kW^–1)		0.020

图 4 负荷及风电预测功率

Fig.4 Forecasted load and wind power

表 5 多场景设置

Table 5 multi-scenario settings

场景	富氧	可变掺氢	奖惩阶梯式碳交易
1	×	×	×
2	√	×	×
3	√	√	×
4	√	×	√
5	√	√	√

表 6 不同场景优化调度结果对比

Table 6 Comparison of optimized scheduling results for different scenarios

场景	总成本/ 元	购电成本/元	运维成本/元	碳交易额/元	实际碳排放量/kg	未捕获碳量/kg
1	15677.45	1681.17	1827	–946.51	12569.40	1459.95
2	14810.71	1197.51	1735	–2679.76	10411.21	891.13
3	14370.60	1173.04	1790	–2947.95	9673.52	424.05
4	13653.33	3704.24	1796	–6582.19	9775.39	956.09
5	13154.56	3534.38	1709	–6846.29	8794.69	452.57

图 5 场景1、2的净电出力与碳捕集量对比

Fig.5 Comparison of net power output and CO2 capture in Scenarios 1 and 2

图 6 场景2氧平衡分析

Fig.6 Oxygen balance analysis in Scenario 2

图 7 多场景掺氢与制氢功率对比

Fig.7 Comparison of hydrogen blending and production power under multiple scenarios

图 8 场景3、5的掺氢功率时序对比

Fig.8 Temporal comparison of hydrogen blending power for Scenarios 3 and 5

图 9 碳交易机制下的总成本与实际碳排放量对比

Fig.9 Comparison of total cost and actual carbon emissions under carbon trading mechanism

图 10 场景5电能调度结果

Fig.10 Electric energy scheduling results in Scenario 5

图 11 场景5热能调度结果

Fig.11 Thermal energy scheduling results in Scenario 5

图 12 场景5气能调度结果

Fig.12 Gas energy scheduling results in Scenario 5

表 7 两阶段鲁棒场景设置

Table 7 Two-stage Robust scenario settings

场景	富氧	可变掺氢	奖惩阶梯式碳交易
6	√	×	×
7	√	√	×
8	√	×	√
9	√	√	√

表 8 场景5不同优化策略下的调度结果对比

Table 8 Comparison of scheduling results under different optimization strategies in Scenario 5

场景5优化策略		实际碳排放量/kg	总成本/ 元
确定性优化	风电、负荷波动0%	8794.69	13154.56
两阶段鲁棒优化（不确定度为12）	风电、负荷波动10%	11533.15	15251.29
	风电波动15%、负荷波动10%	12032.7	15536.85
	风电、负荷波动15%	13134.31	16763.63

图 13 鲁棒优化下的总成本与实际碳排放量对比

Fig.13 Comparison of total cost and carbon emissions under Robust optimization

图 14 场景9中不确定度敏感性分析

Fig.14 Sensitivity analysis of uncertainty level in Scenario 9

参考文献 27

1	李双成, 王巧玲, 刘迎陆. “双碳”目标下的中国可再生能源发展: 机遇与挑战[J]. 气候与环境研究, 2024, 29 (3): 390- 398.
	LI Shuangcheng, WANG Qiaoling, LIU Yinglu. Renewable energy development in China under dual carbon goals: opportunities and challenges[J]. Climatic and Environment Research, 2024, 29 (3): 390- 398.
2	XIANG L, LIN Q, ZHU S, et al. Extended matrix modeling of integrated energy systems considering network dynamic characteristics and source–load uncertainty[J]. Energy, 2024, 312, 133382.
3	袁越, 苗安康, 吴涵, 等. 低碳综合能源系统研究框架与关键问题研究综述[J]. 高电压技术, 2024, 50 (9): 4019- 4036.
	YUAN Yue, MIAO Ankang, WU Han, et al. Review of the research framework and key issues for low-carbon integrated energy system[J]. High Voltage Engineering, 2024, 50 (9): 4019- 4036.
4	HUANG Q, YAO J, HU Y, et al. Integrating compressed CO₂ energy storage in an oxy-coal combustion power plant with CO₂ capture[J]. Energy, 2022, 254, 124493. DOI
5	崔杨, 曾鹏, 仲悟之, 等. 考虑富氧燃烧技术的电–气–热综合能源系统低碳经济调度[J]. 中国电机工程学报, 2021, 41 (2): 592- 608.
	CUI Yang, ZENG Peng, ZHONG Wuzhi, et al. Low-carbon economic dispatch of electro-gas-thermal integrated energy system based on oxy-combustion technology[J]. Proceedings of the CSEE, 2021, 41 (2): 592- 608.
6	贠韫韵, 张大海, 王小君, 等. 考虑光热电站及富氧燃烧捕集技术的电热气综合能源系统低碳运行优化[J]. 电工技术学报, 2023, 38 (24): 6709- 6726.
	YUAN Yunyun, ZHANG Dahai, WANG Xiaojun, et al. Low-carbon operational optimization of integrated electricity-heat-gas energy system considering concentrating solar power plant and oxygen-enriched combustion capture technology[J]. Transactions of China Electrotechnical Society, 2023, 38 (24): 6709- 6726.
7	杨周义, 邢海军, 江伟建, 等. 基于低碳需求响应的含煤制氢与碳捕集电厂的综合能源系统优化调度[J]. 电力自动化设备, 2024, 44 (4): 25- 32.
	YANG Zhouyi, XING Haijun, JIANG Weijian, et al. Optimal scheduling of integrated energy system with coal-to-hydrogen and carbon capture power plant based on low-carbon demand response[J]. Electric Power Automation Equipment, 2024, 44 (4): 25- 32.
8	杨海柱, 白亚楠, 张鹏, 等. 考虑富氧燃烧碳捕集技术和源荷双侧响应的综合能源系统优化调度[J]. 中国电力, 2024, 57 (8): 227- 240. DOI
	YANG Haizhu, BAI Yanan, ZHANG Peng, et al. Integrated energy system optimal dispatch considering oxy-fuel combustion carbon capture technology and source-load bilateral response[J]. Electric Power, 2024, 57 (8): 227- 240. DOI
9	倪志, 文中, 王灿, 等. 含光热MRH和燃气掺氢的综合能源系统优化运行[J]. 广西师范大学学报(自然科学版), 2024, 42 (1): 54- 66.
	NI Zhi, WEN Zhong, WANG Can, et al. Optimal operation of integrated energy system with photothermal MRH and gas doping[J]. Journal of Guangxi Normal University (Natural Science Edition), 2024, 42 (1): 54- 66.
10	孙昊翔, 段俊东. 考虑富氧燃烧电厂与掺氢燃气设备联合运行的综合能源系统优化调度[J]. 热力发电, 2025, 54 (1): 78- 87.
	SUN Haoxiang, DUAN Jundong. Optimal dispatch of integrated energy system considering joint operation of oxy-fuel combustion power plants and hydrogen doped gas equipment[J]. Thermal Power Generation, 2025, 54 (1): 78- 87.
11	张栋顺, 全恒立, 谢桦, 等. 考虑碳交易机制与氢混天然气的园区综合能源系统调度策略[J]. 中国电力, 2024, 57 (2): 183- 193. DOI
	ZHANG Dongshun, QUAN Hengli, XIE Hua, et al. Dispatching strategy of park-level integrated energy system considering carbon trading mechanism and hydrogen blending natural gas[J]. Electric Power, 2024, 57 (2): 183- 193. DOI
12	高雅, 徐艳春, 张涛, 等. 计及EV协调充电及奖惩阶梯碳交易的多微网系统优化调度[J]. 电力建设, 2025, 46 (1): 174- 188.
	GAO Ya, XU Yanchun, ZHANG Tao, et al. Multi-microgrid system optimization scheduling including electric vehicle coordinated charging and punishment ladder carbon trading[J]. Electric Power Construction, 2025, 46 (1): 174- 188.
13	YUN Y, ZHANG D, YANG S, et al. Low-carbon optimal dispatch of integrated energy system considering the operation of oxy-fuel combustion coupled with power-to-gas and hydrogen-doped gas equipment[J]. Energy, 2023, 283, 129127. DOI
14	王大兴, 宁妍, 汪敬培, 等. 构建新型电力系统背景下的微电网鲁棒简化建模[J]. 中国电力, 2024, 57 (1): 148- 157. DOI
	WANG Daxing, NING Yan, WANG Jingpei, et al. Robust simplified modeling of microgrid in the context of constructing new power systems[J]. Electric Power, 2024, 57 (1): 148- 157. DOI
15	MA Y, LI Y, MEI H, et al. Potential way to plan China's power system (2021–2050) for climate change mitigation[J]. Renewable Energy, 2024, 225, 120257.
16	朱继忠, 董瀚江, 李盛林, 等. 基于分布式新能源集群的微能源网优化调度综述[J]. 中国电机工程学报, 2024, 44 (20): 7952- 7970.
	ZHU Jizhong, DONG Hanjiang, LI Shenglin, et al. Review of optimal dispatching for the aggregation of micro-energy grids based on distributed new energy[J]. Proceedings of the CSEE, 2024, 44 (20): 7952- 7970.
17	刘一欣, 郭力, 王成山. 微电网两阶段鲁棒优化经济调度方法[J]. 中国电机工程学报, 2018, 38 (14): 4013- 4022, 4307.
	LIU Yixin, GUO Li, WANG Chengshan. Economic dispatch of microgrid based on two stage robust optimization[J]. Proceedings of the CSEE, 2018, 38 (14): 4013- 4022, 4307.
18	李欣, 陈英彰, 李涵文, 等. 考虑碳交易的电-热综合能源系统两阶段鲁棒优化低碳经济调度[J]. 电力建设, 2024, 45 (6): 58- 69. DOI
	LI Xin, CHEN Yingzhang, LI Hanwen, et al. Two-stage robust optimization low-carbon economic dispatch for electricity-thermal integrated energy system considering carbon trade[J]. Electric Power Construction, 2024, 45 (6): 58- 69. DOI
19	宁萌萌, 冯庆斌, 王丽莎, 等. 含海上风电的虚拟电厂参与日前电能量市场及日内调度的两阶段协同优化[J]. 油气与新能源, 2024, 36 (6): 53- 62, 74. DOI
	NING Mengmeng, FENG Qingbin, WANG Lisha, et al. Two-stage collaborative optimization involving virtual power plant with offshore wind power participation in the day-ahead energy market and intra-day scheduling[J]. Petroleum and New Energy, 2024, 36 (6): 53- 62, 74. DOI
20	岳文全, 姚方, 文福拴. 考虑光热电站的电热氢综合能源系统协调优化策略[J]. 分布式能源, 2023, 8 (4): 29- 39.
	YUE Wenquan, YAO Fang, WEN Fushuan. Coordinated optimization strategy for electric-heat-hydrogen integrated energy system considering concentrating solar power[J]. Distributed Energy, 2023, 8 (4): 29- 39.
21	齐彩娟, 陈宝生, 韦冬妮, 等. 考虑主从博弈定价模式的共享储能分布鲁棒优化配置方法研究[J]. 中国电力, 2024, 57 (7): 40- 53. DOI
	QI Caijuan, CHEN Baosheng, WEI Dongni, et al. Distributionally robust optimal configuration for shared energy storage based on stackelberg game pricing model[J]. Electric Power, 2024, 57 (7): 40- 53. DOI
22	辛晓钢, 李强, 张谦, 等. 计及多灵活性资源的虚拟电厂两阶段鲁棒优化调度方法[J]. 热能动力工程, 2024, 39 (9): 113- 122.
	XIN Xiaogang, LI Qiang, ZHANG Qian, et al. A Two-stage robust optimal scheduling method for virtual power plants taking into account multi-flexibility resources[J]. Journal of Engineering for Thermal Energy and Power, 2024, 39 (9): 113- 122.
23	李贻涛, 李可, 邢晓敏, 等. 考虑富氧燃烧技术的综合能源系统优化调度[J]. 电网与清洁能源, 2024, 40 (8): 1- 10, 17. DOI
	LI Yitao, LI Ke, XING Xiaomin, et al. Optimal Scheduling of the integrated energy system considering oxy-fuel combustion technology[J]. Power System and Clean Energy, 2024, 40 (8): 1- 10, 17. DOI
24	王守文, 叶金根, 杨天萌, 等. 考虑富氧燃烧技术与绿证-碳配额等价交互的综合能源低碳经济调度[J]. 电网技术, 2025, 49 (2): 631- 641.
	WANG Shouwen, YE Jingen, YANG Tianmeng, et al. Integrated energy low carbon economic dispatch considering oxyfuel technology and green certificates-carbon allowance equivalent interactions[J]. Power System Technology, 2025, 49 (2): 631- 641.
25	陈登勇, 刘方, 刘帅. 基于阶梯碳交易的含P2G-CCS耦合和燃气掺氢的虚拟电厂优化调度[J]. 电网技术, 2022, 46 (6): 2042- 2054.
	CHEN Dengyong, LIU Fang, LIU Shuai. Optimization of virtual power plant scheduling coupling with P2G-CCS and doped with gas hydrogen based on stepped carbon trading[J]. Power System Technology, 2022, 46 (6): 2042- 2054.
26	YANG M, LIU Y. A two-stage robust configuration optimization framework for integrated energy system considering multiple uncertainties[J]. Sustainable Cities and Society, 2024, 101, 105120. DOI
27	ZHANG L, HUA D, ZHENG J H, et al. Two-stage robust optimization for optimal operation of hybrid hydrogen–electricity storage system considering ladder-type carbon trading[J]. Journal of Energy Storage, 2024, 100, 113473. DOI

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基于富氧燃烧技术的综合能源两阶段鲁棒低碳经济优化

Two-Stage Robust Low-Carbon Economic Optimization for Integrated Energy System Based on Oxy-Fuel Combustion Technology

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基于富氧燃烧技术的综合能源两阶段鲁棒低碳经济优化

Two-Stage Robust Low-Carbon Economic Optimization for Integrated Energy System Based on Oxy-Fuel Combustion Technology

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