考虑信息间隙决策理论含碳捕集耦合煤制氢的综合能源系统优化调度

邢海军, 颜湛, 杨周义, 王华昕, 梅丘梅

太阳能学报 ›› 2025, Vol. 46 ›› Issue (9) : 362-374.

PDF(1219 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(1219 KB)
太阳能学报 ›› 2025, Vol. 46 ›› Issue (9) : 362-374. DOI: 10.19912/j.0254-0096.tynxb.2024-0731

考虑信息间隙决策理论含碳捕集耦合煤制氢的综合能源系统优化调度

  • 邢海军1, 颜湛1, 杨周义2, 王华昕1, 梅丘梅3
作者信息 +

OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM FOR COAL-TO-HYDROGEN PRODUCTION WITH CARBON CAPTURE COUPLING CONSIDERING INFORMATION GAP DECISION THEORY

  • Xing Haijun1, Yan Zhan1, Yang Zhouyi2, Wang Huaxin1, Mei Qiumei3
Author information +
文章历史 +

摘要

提出考虑信息间隙决策理论含碳捕集耦合煤制氢的综合能源系统优化调度。首先,建立碳捕集电厂耦合煤制氢的多资源利用模型;其次,考虑碳捕集电厂耦合煤制氢的运行约束,以系统运行和弃风成本最小为目标,建立确定性系统调度模型;最后,针对风电不确定性,引入信息间隙决策理论进行量化分析,提高系统对风电不确定性的适应能力。通过算例分析得到持有不同风险态度下的调度方案,结果表明该策略可有效促进风电消纳并提高系统的低碳经济性。

Abstract

At present, over 90% of the world's hydrogen production is derived from fossil fuels. The hydrogen energy industry holds significant potential for reducing emissions as part of the pursuit of the "dual carbon" goal. Among the various methods for hydrogen production and emission reduction, carbon capture technology stands out as a crucial option for achieving low-carbon hydrogen production. Therefore, this paper proposes an optimized scheduling approach for an integrated energy system coupled with coal-based hydrogen production and carbon capture, while considering information gap decision theory. First, a multi-resource utilization model is developed for a carbon capture power plant integrated with coal-to-hydrogen production. Next, taking into account the operational constraints of this coupled system, a deterministic scheduling model is formulated with the objective of minimizing both system operation costs and wind curtailment costs. Finally, to address the uncertainty of wind power, information gap decision theory is applied to quantitatively analyze and enhance the system's adaptability to such variability. The scheduling scheme is evaluated under different risk attitudes through a numerical case study. The results demonstrate that the proposed strategy effectively promotes wind power integration and enhances the systems's low-carbon economy.

关键词

综合能源系统 / 煤制氢 / 碳捕集电厂 / 风电不确定性 / 低碳制氢 / 信息间隙决策理论

Key words

integrated energy system / coal-to-hydrogen / carbon capture power plant / wind power uncertainty / low-carbon hydrogen production / information gap decision theory

引用本文

导出引用
邢海军, 颜湛, 杨周义, 王华昕, 梅丘梅. 考虑信息间隙决策理论含碳捕集耦合煤制氢的综合能源系统优化调度[J]. 太阳能学报. 2025, 46(9): 362-374 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0731
Xing Haijun, Yan Zhan, Yang Zhouyi, Wang Huaxin, Mei Qiumei. OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM FOR COAL-TO-HYDROGEN PRODUCTION WITH CARBON CAPTURE COUPLING CONSIDERING INFORMATION GAP DECISION THEORY[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 362-374 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0731
中图分类号: TM731    TK018   

参考文献

[1] 孟翔宇, 陈铭韵, 顾阿伦, 等. “双碳” 目标下中国氢能发展战略[J]. 天然气工业, 2022, 42(4): 156-179.
MENG X Y, CHEN M Y, GU A L, et al.China's hydrogen development strategy in the context of double carbon targets[J]. Natural gas industry, 2022, 42(4): 156-179.
[2] 曹军文, 张文强, 李一枫, 等. 中国制氢技术的发展现状[J]. 化学进展, 2021, 33(12): 2215-2244.
CAO J W, ZHANG W Q, LI Y F, et al.Current status of hydrogen production in China[J]. Progress in chemistry, 2021, 33(12): 2215-2244.
[3] 徐冬, 孙楠楠, 张九天, 等. 通过耦合碳捕集、利用与封存实现低碳制氢的潜力分析[J]. 热力发电, 2021, 50(10): 53-61.
XU D, SUN N N, ZHANG J T, et al.Potential analysis of carbon dioxide capture, utilization and storage equipped low carbon hydrogen production[J]. Thermal power generation, 2021, 50(10): 53-61.
[4] 郑励行, 赵黛青, 漆小玲, 等. 基于全生命周期评价的中国制氢路线能效、碳排放及经济性研究[J]. 工程热物理学报, 2022, 43(9): 2305-2317.
ZHENG L X, ZHAO D Q, QI X L, et al.Research on energy efficiency, carbon emission and economy of hydrogen production routes in China based on life cycle assessment method[J]. Journal of engineering thermophysics, 2022, 43(9): 2305-2317.
[5] 曹蕃, 郭婷婷, 陈坤洋, 等. 风电耦合制氢技术进展与发展前景[J]. 中国电机工程学报, 2021, 41(6): 2187-2201.
CAO F, GUO T T, CHEN K Y, et al.Progress and development prospect of coupled wind and hydrogen systems[J]. Proceedings of the CSEE, 2021, 41(6): 2187-2201.
[6] 程韧俐, 李江南, 周保荣, 等. 含碳捕集-电转气的风光火储一体化系统优化运行[J]. 上海交通大学学报, 2024, 58(5): 709-718.
CHENG R L, LI J N, ZHOU B R, et al.Operation optimization for integrated system of wind-PV-thermal-storage with CC-P2G[J]. Journal of Shanghai Jiao Tong University, 2024, 58(5): 709-718.
[7] 陈海鹏, 陈晋冬, 张忠, 等. 计及灵活运行碳捕集电厂捕获能耗的电力系统低碳经济调度[J]. 电力自动化设备, 2021, 41(9): 133-139.
CHEN H P, CHEN J D, ZHANG Z, et al.Low-carbon economic dispatching of power system considering capture energy consumption of carbon capture power plants with flexible operation mode[J]. Electric power automation equipment, 2021, 41(9): 133-139.
[8] 彭元, 娄素华, 吴耀武, 等. 考虑储液式碳捕集电厂的含风电系统低碳经济调度[J]. 电工技术学报, 2021, 36(21): 4508-4516.
PENG Y, LOU S H, WU Y W, et al.Low-carbon economic dispatch of power system with wind power considering solvent-storaged carbon capture power plant[J]. Transactions of China Electrotechnical Society, 2021, 36(21): 4508-4516.
[9] 刘晓军, 聂凡杰, 杨冬锋, 等. 碳捕集电厂-电转气联合运行模式下考虑绿证-碳交易机制的综合能源系统低碳经济调度[J]. 电网技术, 2023, 47(6): 2207-2222.
LIU X J, NIE F J, YANG D F, et al.Low carbon economic dispatch of integrated energy systems considering green certificates-carbon trading mechanism under CCPP-P2G joint operation model[J]. Power system technology, 2023, 47(6): 2207-2222.
[10] 吴静, 刘轩宇, 李响, 等. 碳市场价格不确定性对电网调度影响机理分析[J]. 上海交通大学学报, 2025, 59(3): 354-364.
WU J, LIU X Y, LI X, et al.Impact mechanism analysis of carbon price uncertainty on power system dispatch[J]. Journal of Shanghai Jiao Tong University, 2025, 59(3): 354-364.
[11] 郑楚光, 赵永椿, 郭欣. 中国富氧燃烧技术研发进展[J]. 中国电机工程学报, 2014, 34(23): 3856-3864.
ZHENG C G, ZHAO Y C, GUO X.Research and development of oxy-fuel combustion in China[J]. Proceedings of the CSEE, 2014, 34(23): 3856-3864.
[12] 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 Y, ZENG P, ZHONG W Z, 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.
[13] CHEN C M, WU X G, MA J E, et al.Optimal low-carbon scheduling of integrated local energy system considering oxygen-enriched combustion plant and generalized energy storages[J]. IET renewable power generation, 2022, 16(4): 671-687.
[14] 李红伟, 吴磊, 荆浩婕, 等. 考虑风光不确定性的综合能源系统区间优化调度[J]. 科学技术与工程, 2023, 23(12): 5076-5083.
LI H W, WU L, JING H J, et al.Interval optimal scheduling of integrated energy system considering landscape uncertainty[J]. Science technology and engineering, 2023, 23(12): 5076-5083.
[15] 杨航, 张涛, 冉华军, 等. 考虑需求响应与碳价不确定性的综合能源系统优化调度[J]. 现代电力, 2025, 42(4): 640-649.
YANG H, ZHANG T, RAN H J, et al.Optimization dispatching of integrated energy systems considering demand response and carbon price uncertainty[J]. Modern electric power, 2025, 42(4): 640-649.
[16] 熊阳阳, 于艾清, 王育飞, 等. 基于多场景多重不确定性的含混氢天然气的综合能源系统运行优化[J]. 储能科学与技术, 2024, 13(6): 1888-1899.
XIONG Y Y, YU A Q, WANG Y F, et al.Optimization of integrated energy system operation containing hydrogen-compressed natural gas based on multiple scenarios and uncertainties[J]. Energy storage science and technology, 2024, 13(6): 1888-1899.
[17] 张智泉, 陈晓杰, 符杨, 等. 含海上风电制氢的综合能源系统分布鲁棒低碳优化运行[J]. 电网技术, 2025, 49(1): 41-51.
ZHANG Z Q, CHEN X J, FU Y, et al.Distributionally robust low-carbon optimal operation for integrated energy system including hydrogen production from offshore wind power[J]. Power system technology, 2025, 49(1): 41-51.
[18] 陈继明, 徐乾, 李勇, 等. 计及源荷不确定性和碳捕集虚拟电厂的电-气互联系统优化调度[J]. 太阳能学报, 2023, 44(10): 9-18.
CHEN J M, XU Q, LI Y, et al.Optimal dispatch of electricity-natural gas interconnection system considering source-load uncertainty and virtual power plant with carbon capture[J]. Acta energiae solaris sinica, 2023, 44(10): 9-18.
[19] 杜刚, 赵冬梅, 刘鑫. 计及风电不确定性优化调度研究综述[J]. 中国电机工程学报, 2023, 43(7): 2608-2627.
DU G, ZHAO D M, LIU X.Research review on optimal scheduling considering wind power uncertainty[J]. Proceedings of the CSEE, 2023, 43(7): 2608-2627.
[20] 于雪菲, 张帅, 刘琳琳, 等. 基于信息间隙决策理论的碳捕集电厂调度[J]. 清华大学学报(自然科学版), 2022, 62(9): 1467-1473.
YU X F, ZHANG S, LIU L L, et al.Carbon capture power plant scheduling based on information gap decision theory[J]. Journal of Tsinghua University (science and technology), 2022, 62(9): 1467-1473.
[21] 呙金瑞, 张智俊, 窦春霞. 基于信息间隙决策理论与动态分时电价的电动汽车接入虚拟电厂双层经济调度策略[J]. 电力自动化设备, 2022, 42(10): 77-85.
GUO J R, ZHANG Z J, DOU C X.Bi-level economic dispatch strategy for electric vehicles connecting to virtual power plant based on information gap decision theory and dynamic time-of-use price[J]. Electric power automation equipment, 2022, 42(10): 77-85.
[22] LI Y C, WANG J K, HAN Y H, et al.Robust and opportunistic scheduling of district integrated natural gas and power system with high wind power penetration considering demand flexibility and compressed air energy storage[J]. Journal of cleaner production, 2020, 256: 120456.
[23] 吴彪, 张少华, 王晛, 等. 基于信息间隙决策理论-分布鲁棒优化的含电-氢-热混合储能综合能源系统需求响应策略[J]. 电网技术, 2024, 48(3): 1030-1045.
WU B, ZHANG S H, WANG X, et al.Demand response strategy for integrated energy system with electric-hydrogen-thermal hybrid energy storage based on information gap decision theory and distributionally robust optimization[J]. Power system technology, 2024, 48(3): 1030-1045.
[24] 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.
LI Y T, LI K, XING X M, 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.
[25] 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 Z Y, XING H J, JIANG W J, 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.
[26] 胡福年, 周小博, 张彭成, 等. 计及碳捕集的综合能源系统低碳经济优化调度[J]. 太阳能学报, 2024, 45(3): 419-427.
HU F N, ZHOU X B, ZHANG P C, et al.Low carbon economy optimal dispatching of integrated energy system taking into account carbon capture[J]. Acta energiae solaris sinica, 2024, 45(3): 419-427.
[27] 聂立君, 邢海军, 江伟建, 等. 聚合商模式下考虑调峰需求的分布式储能优化配置[J]. 太阳能学报, 2024, 45(7): 153-162.
NIE L J, XING H J, JIANG W J, et al.Optimized configuration of distributed energy storage considering peak shaving requirements under aggregator mode[J]. Acta energiae solaris sinica, 2024, 45(7): 153-162.
[28] 崔杨, 邓贵波, 赵钰婷, 等. 考虑源荷低碳特性互补的含风电电力系统经济调度[J]. 中国电机工程学报, 2021, 41(14): 4799-4815.
CUI Y, DENG G B, ZHAO Y T, et al.Economic dispatch of power system with wind power considering the complementarity of low-carbon characteristics of source side and load side[J]. Proceedings of the CSEE, 2021, 41(14): 4799-4815.

基金

电力传输与功率变换控制教育部重点实验室开放课题(2022AA03)

PDF(1219 KB)

Accesses

Citation

Detail

段落导航
相关文章

/