配置压缩空气储能的绿氢系统容量配置和运行调度优化研究

doi:10.3969/j.issn.2097-0706.2025.07.007

摘要/Abstract

摘要：

为助力“双碳”目标的实现，绿氢生产系统的优化成为实现低碳经济的重要路径。设计了配置压缩空气储能的绿氢系统，提出了风光波动、储能与制氢系统间的容量配置优化模型。采用8 760 h的真实风光数据，仿真不同季节和气候条件下的风光波动，克服了传统模型依赖简化假设和理想化数据的局限性。结果表明，在优化配置后，系统弃电量仅为2%，平准化氢气成本为19.30元/kg，选取典型周逐小时验证了该系统方案在实际运行中的有效性和可行性。研究结果为此绿氢系统的容量配置与运行调度提供了理论支持，可为相关项目提供参考。

关键词: 风力发电, 光伏发电, 氢能, 压缩空气储能, 容量配置, 运行调度

Abstract:

To support the achievement of the "carbon peak and carbon neutrality" goals， the optimization of green hydrogen production systems has become an important path to achieving a low-carbon economy. This paper designs a green hydrogen system equipped with compressed air energy storage and proposes an optimization model for capacity configuration between wind-solar fluctuations and energy storage and hydrogen production systems. This paper uses real wind-solar data for 8 760 h to simulate wind-solar fluctuations under different seasons and climate conditions， overcoming the limitations of traditional models that rely on simplified assumptions and idealized data. The results show that after optimization， the system's abandoned electricity is only 2%， and the levelized cost of hydrogen is 19.30 yuan/kg. A typical week's hourly verification is selected to demonstrate the effectiveness and feasibility of the system scheme in actual operation.The research provides theoretical support for the capacity allocation and operation scheduling of this green hydrogen system and offers guidance for related projects.

Key words: wind power generation, photovoltaic power generation, hydrogen energy, compressed air energy storage, capacity configuration, run the schedule

中图分类号:

TK01：TK510

郑昊宇, 周家辉, 仝冰, 王海鸣, 徐钢, 张资悦. 配置压缩空气储能的绿氢系统容量配置和运行调度优化研究[J]. 综合智慧能源, 2025, 47(7): 64-70.

ZHENG Haoyu, ZHOU Jiahui, TONG Bin, WANG Haiming, XU Gang, ZHANG Ziyue. Research on capacity allocation and operation scheduling optimization of green hydrogen system with compressed air energy storage[J]. Integrated Intelligent Energy, 2025, 47(7): 64-70.

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参考文献 23

[1]	李菲菲, 崔金栋, 朱增陈, 等. 我国支柱产业碳中和路径的数字化驱动与协同机制研究[J]. 情报科学, 2024, 42(3): 64-70.
	LI Feifei, CUI Jindong, ZHU Zengchen, et al. The digital driving and collaborative mechanism of carbon neutrality path in China's pillar industries[J]. Information Science, 2024, 42(3): 64-70.
[2]	胡彬枫, 赵晶晶. 全球绿氢产业现状及未来发展趋势[J]. 国际工程与劳务, 2023(10): 58-61.
	HU Binfeng, ZHAO Jingjing. Present situation and future development trend of global green hydrogen industry[J]. International Project Contracting and Labour Service, 2023(10): 58-61.
[3]	王海鸣, 张润之, 周家辉, 等. 离网式风光互补制氢合成绿氨系统容量配置优化分析[J]. 综合智慧能源, 2024, 46(11): 73-82. doi: 10.3969/j.issn.2097-0706.2024.11.009
	WANG Haiming, ZHANG Runzhi, ZHOU Jiahui, et al. Optimal capacity configuration of off-grid wind-solar hybrid hydrogen production and green ammonia synthesis system[J]. Integrated Intelligent Energy, 2024, 46(11): 73-82. doi: 10.3969/j.issn.2097-0706.2024.11.009
[4]	杨正军, 梁士兴, 徐钢, 等. 风光互补电醇联产系统的容量优化配置[J]. 综合智慧能源, 2023, 45(12): 71-78. doi: 10.3969/j.issn.2097-0706.2023.12.009
	YANG Zhengjun, LIANG Shixing, XU Gang, et al. Capacity optimization configuration of wind-solar complementary electricity-alcohol cogeneration system[J]. Integrated Intelligent Energy, 2023, 45(12): 71-78. doi: 10.3969/j.issn.2097-0706.2023.12.009
[5]	刘畅, 徐玉杰, 胡珊, 等. 压缩空气储能电站技术经济性分析[J]. 储能科学与技术, 2015, 4(2): 158-168. doi: 10.3969/j.issn.2095-4239.2015.02.006
	LIU Chang, XU Yujie, HU Shan, et al. Techno-economic analysis of compressed air energy storage power plant[J]. Energy Storage Science and Technology, 2015, 4(2): 158-168. doi: 10.3969/j.issn.2095-4239.2015.02.006
[6]	吴皓文, 王军, 龚迎莉, 等. 储能技术发展现状及应用前景分析[J]. 电力学报, 2021, 36(5): 434-443.
	WU Haowen, WANG Jun, GONG Yingli, et al. Development status and application prospect analysis of energy storage technology[J]. Journal of Electric Power, 2021, 36(5): 434-443.
[7]	王宇飞. 集成储氢的氢燃料压缩空气储能系统性能评估与成本分析[D]. 吉林: 东北电力大学, 2023.
	WANG Yufei. Performance evaluation and cost analysis of hydrogen fuel compressed air energy storage system with integrated hydrogen storage[D]. Jilin: Northeast Electric Power University, 2023.
[8]	张利, 段福凯, 李彪, 等. 与电解水制氢和固体氧化物燃料电池耦合集成的新型压缩空气储能系统性能分析[J]. 现代化工, 2023, 43(12): 213-220. doi: 10.16606/j.cnki.issn0253-4320.2023.12.039
	ZHANG Li, DUAN Fukai, LI Biao, et al. Analysis on performance of a novel compressed air energy storage system coupled with electrolytic water hydrogen production and solid oxide fuel cell[J]. Modern Chemical Industry, 2023, 43(12): 213-220. doi: 10.16606/j.cnki.issn0253-4320.2023.12.039
[9]	陈海生, 凌浩恕, 徐玉杰. 能源革命中的物理储能技术[J]. 中国科学院院刊, 2019, 34(4): 450-459.
	CHEN Haisheng, LING Haoshu, XU Yujie. Physical energy storage technology in energy revolution[J]. Bulletin of Chinese Academy of Sciences, 2019, 34(4): 450-459.
[10]	翟璇, 罗方, 杨志, 等. 压缩空气储能系统动态建模与变工况特性的研究进展[J]. 能源与环境, 2024(4): 13-17.
	ZHAI Xuan, LUO Fang, YANG Zhi, et al. Research progress on dynamic modeling and off-design characteristics of compressed air energy storage system[J]. Energy and Environment, 2024(4): 13-17.
[11]	蒋昱垚. 压缩空气储能技术综述及其在风力发电中的应用[J]. 科技视界, 2024(18): 48-50.
	JIANG Yuyao. Summary of compressed air energy storage technology and its application in wind power generation[J]. Science and Technology Vision, 2024(18): 48-50.
[12]	李盼, 杨晨, 陈雯, 等. 压缩空气储能系统动态特性及其调节系统[J]. 中国电机工程学报, 2020, 40(7): 2295-2305,2408.
	LI Pan, YANG Chen, CHEN Wen, et al. Dynamic characteristics of compressed air energy storage system and the regulation system[J]. Proceedings of the CSEE, 2020, 40(7): 2295-2305,2408.
[13]	MAZLOUM Y, SAYAH H, NEMER M. Static and dynamic modeling comparison of an adiabatic compressed air energy storage system[J]. Journal of Energy Resources Technology, 2016, 138(6):62001
[14]	梅生伟, 李瑞, 陈来军, 等. 先进绝热压缩空气储能技术研究进展及展望[J]. 中国电机工程学报, 2018, 38(10): 2893-2907,3140.
	MEI Shengwei, LI Rui, CHEN Laijun, et al. An overview and outlook on advanced adiabatic compressed air energy storage technique[J]. Proceedings of the CSEE, 2018, 38(10): 2893-2907,3140.
[15]	李双江, 肖枫, 陈伟, 等. 先进绝热压缩空气储能系统储能阶段建模仿真和动态分析[J]. 山东科学, 2024, 37(5): 42-53. doi: 10.3976/j.issn.1002-4026.20230171
	LI Shuangjiang, XIAO Feng, CHEN Wei, et al. Modeling, simulation and dynamic analysis of the energy stage of advanced adiabatic compressed air energy storage system[J]. Shandong Science, 2024, 37(5): 42-53. doi: 10.3976/j.issn.1002-4026.20230171
[16]	文贤馗, 陈雯, 钟晶亮, 等. 面向废弃能量收集的风电-压缩空气储能耦合发电系统[J]. 节能, 2019, 38(2): 107-110.
	WEN Xiankui, CHEN Wen, ZHONG Jingliang, et al. Wind power - compressed air energy storage coupling power generation system for waste energy collection[J]. Energy Conservation, 2019, 38(2): 107-110.
[17]	程昭龙, 李鸿奎, 李福建, 等. 考虑风电光伏出力不确定性的多目标最优潮流[J]. 自动化技术与应用, 2021, 40(10): 11-16.
	CHENG Zhaolong, LI Hongkui, LI Fujian, et al. Multi objective optimal power flow based on wind power photovoltage output uncertainty[J]. Techniques of Automation and Applications, 2021, 40(10): 11-16.
[18]	LU Z J, ZHU Q, ZHANG W G, et al. Economic operation strategy of integrated hydrogen energy system considering the uncertainty of PV power output[J]. Energy Reports, 2023, 9: 463-471.
[19]	吉旭, 周步祥, 贺革, 等. 大规模可再生能源电解水制氢合成氨关键技术与应用研究进展[J]. 工程科学与技术, 2022, 54(5): 1-11.
	JI Xu, ZHOU Buxiang, HE Ge, et al. Research review of the key technology and application of large-scale water electrolysis powered by renewable energy to hydrogen and ammonia production[J]. Advanced Engineering Sciences, 2022, 54(5): 1-11.
[20]	李佳佳, 李兴朔, 魏凡超, 等. 耦合火电机组的新型压缩空气储能系统技术经济性评估研究[J]. 中国电机工程学报, 2023, 43(23): 9171-9183.
	LI Jiajia, LI Xingshuo, WEI Fanchao, et al. Research on techno-economic evaluation of new type compressed air energy storage coupled with thermal power unit[J]. Proceedings of the CSEE, 2023, 43(23): 9171-9183.
[21]	杭阳. 基于深度强化学习的综合能源系统运行优化[D]. 北京: 华北电力大学, 2022.
	HANG Yang. Operation optimization of comprehensive energy system based on deep reinforcement learning[D]. Beijing: North China Electric Power University, 2022.
[22]	黄菲菲. 计及㶲效率的综合能源系统多目标规划优化研究[D]. 北京: 华北电力大学, 2022.
	HUANG Feifei. Study on multi-objective programming optimization of comprehensive energy system considering exergy efficiency[D]. Beijing: North China Electric Power University, 2022.
[23]	张润之, 周家辉, 梁士兴, 等. 离网式风光氢醇一体化系统容量配置运行调度优化及经济性分析[J]. 热力发电, 2024, 53(2): 48-58.
	ZHANG Runzhi, ZHOU Jiahui, LIANG Shixing, et al. Capacity configuration-operation scheduling optimization and economic analysis of the off grid wind and solar hydrogen alcohol integrated system[J]. Thermal Power Generation, 2024, 53(2): 48-58.

设备	参数	数值
风电	投资成本/(元·kW^-1)	4 800
风电	运维成本/%	2
光伏	投资成本/(元·kW^-1)	3 800
光伏	运维成本/%	1
电解槽	投资成本/(元·kW^-1)	2 000
	额定容量/m³	1 000
	比能耗/[(kW·h)·m^-3]	5
	负载范围/%	30~110
	启动时间/min	60
CAES设备	投资成本/[元·(kW·h)^-1]	4 500
	运维成本/%	1
	储能效率/%	75
材料消耗	水成本/(元·t^-1)	9.8
蓄电池	充、放电效率/%	95
	单位容量价格/(元·MW^-1)	2 000
	运维成本/%	2

参数	S1	S2
风电/MW	50	50
光伏/MW	50	50
电解槽/MW	55	50
氢气产量/万t	0.43	0.42
储能容量/MW	70	80
弃电率/%	2	4
总收益/万元	6 741.97	5 194.67
设备总投资/亿元	8.48	10.26
平准化氢气价格/（元·kg^-1）	19.30	26.50