考虑氢能多元利用的综合能源系统低碳灵活调度

doi:10.11930/j.issn.1004-9649.202411086

中国电力 ›› 2025, Vol. 58 ›› Issue (7): 38-53.DOI: 10.11930/j.issn.1004-9649.202411086

• 规模化综合能源系统规划与运行技术 • 上一篇下一篇

考虑氢能多元利用的综合能源系统低碳灵活调度

张瀚公¹(), 谢丽蓉¹(), 王层层², 任娟³, 卞一帆¹, 韩宪超¹

1. 可再生能源发电与并网技术教育部工程研究中心（新疆大学），新疆乌鲁木齐　830017
2. 国网新疆电力有限公司信息通信公司，新疆乌鲁木齐　830063
3. 国网新疆电力有限公司经济技术研究院，新疆乌鲁木齐　830002

收稿日期:2024-11-25 发布日期:2025-07-30 出版日期:2025-07-28
作者简介:
张瀚公（2000），男，硕士研究生，从事含氢综合能源系统优化调度、电力系统优化控制研究，E-mail：zhg1903569310@163.com
谢丽蓉（1969），女，通信作者，硕士，教授，从事新能源发电、控制系统优化、储能优化配置与控制研究，E-mail：xielirong@xju.edu.cn
基金资助:
国家自然科学基金资助项目（限电工况“高效发电-风储互补-分级维护”多场景动态融合协同调度研究，62163034）；新疆维吾尔自治区重大专项资助项目（“双碳”背景下“源网荷储”一体化柔性坚强电网关键技术研究，2022A01001-1，能源数据标准化体系研发，2022A01007-4）；科技创新领军人才项目-高层次领军人才资助项目（计及矿山安全的源网储荷低碳优化关键技术研究，2022TSYCLJ0017）。

Low-Carbon and Flexible Scheduling of Integrated Energy Systems Considering Multi-utilization of Hydrogen Energy

ZHANG Hangong¹(), XIE Lirong¹(), WANG Cengceng², REN Juan³, BIAN Yifan¹, HAN Xianchao¹

1. Engineering Research Center of Renewable Energy Power Generation and Grid-Connected Technology, Ministry of Education (Xinjiang University), Urumqi 830017, China
2. State Grid Xinjiang Electric Power Co., Ltd. Information and Communication Company, Urumqi 830063, China
3. State Grid Xinjiang Electric Power Co., Ltd. Economic and Technological Research Institute, Urumqi 830002, China

Received:2024-11-25 Online:2025-07-30 Published:2025-07-28
Supported by:
This work is supported by National Natural Science Foundation of China (Study on Multi-scenario Dynamic Integration of "Efficient Power Generation, Wind Storage Complementation, and Hierarchical Maintenance" for Power-Limited Working Conditions, No.62163034), the Major Special Project of Xinjiang Uygur Autonomous Region (Research on Key Technology of Integrated Flexible and Strong Power Grid of "Source, Grid, Load and Storage" under the Background of "Double Carbon", No.2022A01001-1, Research on Energy Data Standardization System, No.2022A01007-4), Science and Technology Innovation Talents and High-Level Talents Project of the Xinjiang Uygur Autonomous Region (Research on the Key Technology of Low-Carbon Optimization of Source-Network-Storage-Load Taking into Account Mine Safety, No.2022TSYCLJ0017).

摘要/Abstract

摘要：

为提高传统含氢的综合能源系统的经济性、低碳性和灵活性，提出氢能多元利用的综合能源系统低碳灵活调度模型。首先，对源荷双侧不确定性进行分析，建立源荷双侧不确定性模型，采用拉丁超立方抽样法和K-means聚类生成源荷双侧的典型场景；其次，建立以碳捕集电厂、氢能多元利用相关的各能量转换设备及储能单元为主体的含氢综合能源系统模型，以充分挖掘含氢综合能源系统在经济性、低碳性和灵活性方面的潜能；最后，引入阶梯式碳交易机制和分时电价机制，建立以经济性成本和环境性成本之和最小为目标函数的优化调度模型，并使用CPLEX求解器进行求解。算例分析表明，所提氢能多元利用的综合能源系统模型有效降低了运行成本和CO₂排放量，实现了各能量转换设备灵活运行和多能互补。

关键词: 综合能源系统, 氢能多元利用, 优化调度, 阶梯式碳交易, 碳捕集电厂

Abstract:

In order to improve the economy, low carbon and flexibility of the traditional hydrogen-containing integrated energy system, a low-carbon and flexible scheduling model of integrated energy system with multiple utilization of hydrogen energy is proposed. Firstly, based on an analysis of the source-load dual-side uncertainty, a source-load dual-side uncertainty model was established, and typical source-load dual-side scenarios were generated using the Latin hypercube sampling method and K-means clustering. Secondly, an integrated hydrogen-enabled energy system model was developed with its core comprising carbon capture power plants, multi-utilization hydrogen conversion devices, and energy storage components, to fully exploit the potential of the hydrogen-containing integrated energy system in terms of economy, low carbon and flexibility. Finally, the stepped carbon emission trading mechanism and time of use electricity pricing mechanism were introduced to establish an optimal scheduling model with the objective function of minimizing the sum of economic and environmental costs, and the CPLEX solver was used to solve the model. The case study shows that the proposed integrated hydrogen-enabled energy system model effectively reduces the operating costs and CO₂ emissions, realizing the flexible operation of each energy conversion device and multi-energy complementarity.

Key words: integrated energy system, multi-utilization of hydrogen energy, optimal scheduling, stepped carbon emission trading, carbon capture power plant

张瀚公, 谢丽蓉, 王层层, 任娟, 卞一帆, 韩宪超. 考虑氢能多元利用的综合能源系统低碳灵活调度[J]. 中国电力, 2025, 58(7): 38-53.

ZHANG Hangong, XIE Lirong, WANG Cengceng, REN Juan, BIAN Yifan, HAN Xianchao. Low-Carbon and Flexible Scheduling of Integrated Energy Systems Considering Multi-utilization of Hydrogen Energy[J]. Electric Power, 2025, 58(7): 38-53.

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https://www.electricpower.com.cn/CN/Y2025/V58/I7/38

图/表 11

参考文献 30

1	李红伟, 吴佳航, 王佳怡, 等. 计及P2G及碳捕集的风光氢储综合能源系统低碳经济调度[J]. 电力系统保护与控制, 2024, 52 (16): 26- 36.
	LI Hongwei, WU Jiahang, WANG Jiayi, et al. Low-carbon economic dispatch of a wind, solar, and hydrogen storage integrated energy systemconsidering P2G and carbon capture[J]. Power System Protection and Control, 2024, 52 (16): 26- 36.
2	刘珂, 顾雪平, 白岩松, 等. 考虑风电不确定性的电力系统在线动态分区恢复优化方法[J]. 电力系统保护与控制, 2024, 52 (19): 60- 73.
	LIU Ke, GU Xueping, BAI Yansong, et al. nline dynamic partition restoration optimization method of a power systemconsidering wind power uncertainty[J]. Power System Protection and Control, 2024, 52 (19): 60- 73.
3	朱明, 夏宇栋, 常凯, 等. 基于粒子群优化算法的空调负荷灰箱模型辨识[J]. 电力科学与技术学报, 2023, 38 (4): 214- 221.
	ZHU Ming, XIA Yudong, CHANG Kai, et al. Identification of grey box model for air conditioning load based on particleswarm optimization algorithm[J]. Journal of Electric Power Science and Technology, 2023, 38 (4): 214- 221.
4	朱霄珣, 刘占田, 薛劲飞, 等. 计及柔性负荷参与的综合能源系统优化调度[J]. 太阳能学报, 2023, 44 (9): 29- 38.
	ZHU Xiaoxun, LIU Zhantian, XUE Jinfei, et al. Optimal scheduling of integrated energy system with flexible load participation[J]. Acta Energiae Solaris Sinica, 2023, 44 (9): 29- 38.
5	LI M S, LIN Z J, JI T Y, et al. Risk constrained stochastic economic dispatch considering dependence of multiple wind farms using pair-copula[J]. Applied Energy, 2018, 226, 967- 978. DOI
6	王冠, 李鹏, 焦扬, 等. 计及风光不确定性的虚拟电厂多目标随机调度优化模型[J]. 中国电力, 2017, 50 (5): 107- 113.
	WANG Guan, LI Peng, JIAO Yang, et al. Multi-objective stochastic scheduling optimization model for virtual power plant considering uncertainty of wind and photovoltaic power[J]. Electric Power, 2017, 50 (5): 107- 113.
7	杨晓峰, 方逸航, 赵鹏臻, 等. 基于K-means和BPNN的风机状态识别[J]. 中国电力, 2023, 56 (6): 158- 166, 175.
	YANG Xiaofeng, FANG Yihang, ZHAO Pengzhen, et al. State recognition of wind turbines based on K-means and BPNN[J]. Electric Power, 2023, 56 (6): 158- 166, 175.
8	南斌, 姜春娣, 董树锋, 等. 计及源荷不确定性的综合能源系统日前-日内协调优化调度[J]. 电网技术, 2023, 47 (9): 3669- 3683.
	NAN Bin, JIANG Chundi, DONG Shufeng, et al. Day-ahead and intra-day coordinated optimal scheduling of integrated energy system considering uncertainties in source and load[J]. Power System Technology, 2023, 47 (9): 3669- 3683.
9	崔杨, 邓贵波, 曾鹏, 等. 计及碳捕集电厂低碳特性的含风电电力系统源–荷多时间尺度调度方法[J]. 中国电机工程学报, 2022, 42 (16): 5869- 5886, 6163.
	CUI Yang, DENG Guibo, ZENG Peng, et al. Multi-time scale source-load dispatch method of power system with wind power considering low-carbon characteristics of carbon capture power plant[J]. Proceedings of the CSEE, 2022, 42 (16): 5869- 5886, 6163.
10	贠保记, 张恩硕, 张国, 等. 考虑综合需求响应与“双碳”机制的综合能源系统优化运行[J]. 电力系统保护与控制, 2022, 50 (22): 11- 19.
	YUN Baoji, ZHANG Enshuo, ZHANG Guo, et al. Operation of an integrated energy system considering integrated demand response and a "dual carbon" mechanism[J]. Power System Protection and Control, 2022, 50 (22): 11- 19.
11	朱振山, 盛明鼎, 陈哲盛. 计及液态空气储能与综合需求响应的综合能源系统低碳经济调度[J]. 电力自动化设备, 2022, 42 (12): 1- 8.
	ZHU Zhenshan, SHENG Mingding, CHEN Zhesheng. Low-carbon economic dispatching of integrated energy system considering liquid air energy storage and integrated demand response[J]. Electric Power Automation Equipment, 2022, 42 (12): 1- 8.
12	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.
	ZHANG Dongshun, QUAN Henghua, 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.
13	朱西平, 江强, 刘明航, 等. 计及源-荷不确定性的综合能源系统两阶段优化调度[J]. 电力自动化设备, 2023, 43 (8): 9- 16.
	ZHU Xiping, JIANG Qiang, LIU Minghang, et al. Two-stage optimal scheduling of integrated energy system considering source-load uncertainty[J]. Electric Power Automation Equipment, 2023, 43 (8): 9- 16.
14	邹宇航, 曾艾东, 郝思鹏, 等. 阶梯式碳交易机制下综合能源系统多时间尺度优化调度[J]. 电网技术, 2023, 47 (6): 2185- 2198.
	ZOU Yuhang, ZENG Aidong, HAO Sipeng, et al. Multi-time-scale optimal dispatch of integrated energy systems under stepped carbon trading mechanism[J]. Power System Technology, 2023, 47 (6): 2185- 2198.
15	邢海军, 叶宇静, 刘哲远, 等. 含多种灵活性资源的综合能源系统低碳优化调度[J]. 浙江大学学报(工学版), 2024, 58 (6): 1243- 1254.
	XING Haijun, YE Yujing, LIU Zheyuan, et al. Low-carbon optimal scheduling of integrated energy system considering multiple flexible resources[J]. Journal of Zhejiang University(Engineering Science), 2024, 58 (6): 1243- 1254.
16	刘泽洪, 孟婧, 张瑾轩, 等. 电-氢-碳耦合促进新能源基地开发模式研究[J]. 全球能源互联网, 2024, 7 (5): 473- 491.
	LIU Zehong, MENG Jing, ZHANG Jinxuan, et al. Research on the development model of new energy bases based on the electricity-hydrogen-carbon synergy[J]. Journal of Global Energy Interconnection, 2024, 7 (5): 473- 491.
17	孔令国, 王嘉祺, 韩子娇, 等. 基于权重调节模型预测控制的风-光-储-氢耦合系统在线功率调控[J]. 电工技术学报, 2023, 38 (15): 4192- 4207.
	KONG Lingguo, WANG Jiaqi, HAN Zijiao, et al. On-Line power regulation of wind-photovoltaic-storage-hydrogen coupling system based on weight adjustment model predictive control[J]. Transactions of China Electrotechnical Society, 2023, 38 (15): 4192- 4207.
18	王冲, 陆煜, 左娟, 等. 计及光热电站与风氢系统互补运行的低碳经济调度策略[J]. 电力自动化设备, 2023, 43 (12): 188- 196.
	WANG Chong, LU Yu, ZUO Juan, et al. Low-carbon economic scheduling strategy with complementary operation of concentrated solar power plant and wind-hydrogen system[J]. Electric Power Automation Equipment, 2023, 43 (12): 188- 196.
19	陈明健, 陈胜, 王异成, 等. 考虑氢能绿证的电-氢综合能源系统机会约束优化调度[J]. 电力自动化设备, 2023, 43 (12): 206- 213.
	CHEN Mingjian, CHEN Sheng, WANG Yicheng, et al. Chance constrained optimal scheduling of electric-hydrogen integrated energy system considering green certificate of hydrogen energy[J]. Electric Power Automation Equipment, 2023, 43 (12): 206- 213.
20	李江南, 程韧俐, 周保荣, 等. 含碳捕集及电转氢设备的低碳园区综合能源系统随机优化调度[J]. 中国电力, 2024, 57 (5): 149- 156. DOI
	LI Jiangnan, CHEN Renli, ZHOU Baorong, et al. Stochastic optimal of integrated energy system in low-carbon parks considering carbon capture storage and power to hydrogen[J]. Electric Power, 2024, 57 (5): 149- 156. DOI
21	李奇, 邹雪俐, 蒲雨辰, 等. 基于氢储能的热电联供型微电网优化调度方法[J]. 西南交通大学学报, 2023, 58 (1): 9- 21. DOI
	LI Qi, ZOU Xueli, PU Yuchen, et al. Optimal schedule of combined heat-power microgrid based on hydrogen energy storage[J]. Journal of Southwest Jiaotong University, 2023, 58 (1): 9- 21. DOI
22	黎观海, 朱建全, 赵文猛, 等. 考虑灵活性不足风险的园区综合能源系统优化调度[J]. 高电压技术, 2024, 50 (2): 704- 713.
	LI Guanhai, ZHU Jianquan, ZHAO Wenmeng, et al. Optimal dispatch of park-level integrated energy systems considering the risk of insufficient operational flexibility[J]. High Voltage Engineering, 2024, 50 (2): 704- 713.
23	杜妍, 裴玮, 葛贤军, 等. 综合能源微网系统的滚动优化经济调度[J]. 电力系统及其自动化学报, 2017, 29 (11): 20- 25. DOI
	DU Yan, PEI Wei, GE Xianjun, et al. Rolling optimization of economic dispatching for multi-energy micro-grid system[J]. Proceedings of the CSU-EPSA, 2017, 29 (11): 20- 25. DOI
24	王永利, 向皓, 郭璐, 等. 面向多能互补的分布式光伏与电氢混合储能规划优化研究[J]. 电网技术, 2024, 48 (2): 564- 576.
	WANG Yongli, XIANG Hao, GUO Lu, et al. Research on planning optimization of distributed photovoltaic and electro-hydrogen hybrid energy storage for multi-energy complementarity[J]. Power System Technology, 2024, 48 (2): 564- 576.
25	MEHRJERDI H, SABOORI H, JADID S. Power-to-gas utilization in optimal sizing of hybrid power, water, and hydrogen microgrids with energy and gas storage[J]. Journal of Energy Storage, 2022, 45, 103745. DOI
26	胡俊杰, 童宇轩, 刘雪涛, 等. 计及精细化氢能利用的综合能源系统多时间尺度鲁棒优化策略[J]. 电工技术学报, 2024, 39 (5): 1419- 1435.
	HU Junjie, TONG Yuxuan, LIU Xuetao, et al. Multi-time-scale robust optimization strategy for integrated energy system considering the refinement of hydrogen energy use[J]. Transactions of China Electrotechnical Society, 2024, 39 (5): 1419- 1435.
27	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.
28	张曼铮, 肖猛, 闫沛伟, 等. 危废焚烧处理耦合有机朗肯循环系统工质筛选与热力学优化[J]. 化工学报, 2023, 74 (8): 3502- 3512. DOI
	ZHANG Manzheng, XIAO Meng, YAN Peiwei, et al. Working fluid screening and thermodynamic optimization of hazardous waste incineration coupled organic Rankine cycle system[J]. CIESC Journal, 2023, 74 (8): 3502- 3512. DOI
29	刘妍, 胡志坚, 陈锦鹏, 等. 含碳捕集电厂与氢能多元利用的综合能源系统低碳经济调度[J]. 电力系统自动化, 2024, 48 (1): 31- 40. DOI
	LIU Yan, HU Zhijian, CHEN Jinpeng, et al. Low-carbon economic dispatch of integrated energy system considering carbon capture power plant and multi-utilization of hydrogen energy[J]. Automation of Electric Power Systems, 2024, 48 (1): 31- 40. DOI
30	刘睿捷, 包哲静, 林振智. 考虑双层奖惩型碳交易机制的源网荷分布协同低碳经济调度[J]. 电力系统自动化, 2024, 48 (9): 11- 20.
	LIU Ruijie, BAO Zhejing, LIN Zhenzhi, et al. Distributed collaborative low-carbon economic dispatching of source, grid and load considering dual-layer carbon trading mechanism with reward and punishment[J]. Automation of Electric Power Systems, 2024, 48 (9): 11- 20.

时段		价格/(元·(kW·h)^–1)
01:00—08:00； 23:00—24:00		0.38
08:00—12:00； 15:00—19:00		0.68
12:00—15:00；19:00—23:00		1.20

时段		价格/(元·(kW·h)^–1)
01:00—08:00； 23:00—24:00		0.38
08:00—12:00； 15:00—19:00		0.68
12:00—15:00；19:00—23:00		1.20

参数	数值	参数	数值
典型场景数目	10	电热转换系数/ (MJ·(MW⋅h)^–1)	3600
氢气低位热值/(MJ·m^–3)	11	天然气价格/(万元·m^–3)	0.00038
天然气低位热值/(MJ·m^–3)	39	CO₂气体密度/(t·m^–3)	0.001997
碳交易基准价格/(万元·t^–1)	0.014	弃风惩罚成本系数/ (万元·MW^–1)	0.013
碳交易价格增长率/%	30	弃光惩罚成本系数/ (万元·MW^–1)	0.05
碳排放区间/t	200	购气上限/MW	500
燃煤机组供电基准/ (t·(MW⋅h)^–1)	0.7159	购电上限/MW	500
燃气机组供电基准/ (t·(MW⋅h)^–1)	0.2201	售电功率上限/MW	50
燃气机组供热基准/ (t·(MW⋅h)^–1)	0.0557

参数	数值	参数	数值
典型场景数目	10	电热转换系数/ (MJ·(MW⋅h)^–1)	3600
氢气低位热值/(MJ·m^–3)	11	天然气价格/(万元·m^–3)	0.00038
天然气低位热值/(MJ·m^–3)	39	CO₂气体密度/(t·m^–3)	0.001997
碳交易基准价格/(万元·t^–1)	0.014	弃风惩罚成本系数/ (万元·MW^–1)	0.013
碳交易价格增长率/%	30	弃光惩罚成本系数/ (万元·MW^–1)	0.05
碳排放区间/t	200	购气上限/MW	500
燃煤机组供电基准/ (t·(MW⋅h)^–1)	0.7159	购电上限/MW	500
燃气机组供电基准/ (t·(MW⋅h)^–1)	0.2201	售电功率上限/MW	50
燃气机组供热基准/ (t·(MW⋅h)^–1)	0.0557

设备	参数	数值	设备	参数	数值
储液式碳捕集电厂	CCPP基础能耗/MW	3	甲烷反应器	转换效率/%	70
	CCPP运行能耗系数/((MW⋅h)·t^–1)	0.268		MR氢功率上、下限/MW	150、0
	再生效率、吸收效率/%	90、90		MR爬坡上、下限/(MW⋅h^–1)	50、–50
	富液罐CO₂浓度/%	92.95	掺氢热电联产机组	掺氢比上、下限/%	20、10
	富液罐储液上、下限/m³	40000、3000		转换效率/%	92
	贫液罐储液上、下限/m³	40000、3000		可调电热比上、下限	2.08、0.48
	富液罐/贫液罐初始容量/m³	20000		CHP混合燃气功率上、下限/MW	210、0
	燃煤机组单位发电量的碳排放强度/(t·(MW⋅h)^–1)	1.02		CHP爬坡上、下限/(MW⋅h^–1)	±45
	燃煤机组出力上、下限/MW	400、100		耗天然气型碳排放系数a₁、b₁、c₁	3、–0.004、0.001
	燃煤机组爬坡上、下限/(MW⋅h^–1)	125、–125	掺氢燃气锅炉	掺氢比上、下限/%	20、2
	单位发电量燃煤成本/(万元·(MW⋅h)^–1)	0.042		转换效率/%	80
	燃煤机组的碳排放系数a₂、b₂、c₂	36、–0.38、0.0034		GB混合燃气功率上、下限/MW	120、0
	碳封存成本/(万元·t^–1)	0.004		GB爬坡上、下限/(MW⋅h^–1)	40、–40
电解槽	转换效率/%	75	有机朗肯循环系统	转换效率/%	80
	EL电功率上、下限/MW	200、0		ORC输入功率上、下限/MW	100、0
	EL爬坡上、下限/(MW⋅h^–1)	40、–40		ORC爬坡上、下限/(MW⋅h^–1)	50、–50
储氢罐	储氢、释氢效率/%	均95	储热罐	储热、放热效率/%	均85
	储氢罐容量上、下限/(MW⋅h)	1000、100		储热罐容量上、下限/(MW⋅h)	200、30
	储氢罐初始容量/(MW⋅h)	500		储热罐初始容量/(MW⋅h)	100
	最大、最小储氢功率/MW	125、0		最大、最小储热功率/MW	40、0
	最大、最小释氢功率/MW	125、0		最大、最小放热功率/MW	40、0

考虑氢能多元利用的综合能源系统低碳灵活调度

Low-Carbon and Flexible Scheduling of Integrated Energy Systems Considering Multi-utilization of Hydrogen Energy

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方案	总成本	燃煤成本	购气成本	售电成本	购电成本	碳交易成本	碳封存成本	弃风惩罚成本	弃光惩罚成本
1	289.6		246.7	–16.0	52.5	3.3		3.1	0
2	267.8		231.9	–18.4	50.3	0.8		3.2	0
3	266.6	113.0	199.0	–24.8	0	–30.8	10.1	0	0
4	252.6	105.5	196.1	–27.8	0	–31.0	9.7	0	0

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模态框（Modal）标题

考虑氢能多元利用的综合能源系统低碳灵活调度

Low-Carbon and Flexible Scheduling of Integrated Energy Systems Considering Multi-utilization of Hydrogen Energy

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PDF (PC)

可视化

摘要/Abstract

引用本文

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图/表 11

参考文献 30

相关文章 15

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