氢能交互下的多区域电氢综合能源系统可靠性提升策略

doi:10.19595/j.cnki.1000-6753.tces.230976

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摘要

针对现有研究未考虑区域供氢网间能量交互的灵活运行特征,难以有效评估并提升多区域电氢综合能源系统可靠供能水平的问题,本文提出了考虑氢能交互的多区域电氢综合能源系统可靠性评估方法。首先,剖析区域间氢能交互通道与区域内供氢网灵活资源的协调配合规律,提出多区域电氢综合能源系统协同运行机制及其运行模型。其次,以系统总运行成本最小为目标,建立计及氢能交互的多区域电氢综合能源系统最优负荷削减模型。从区域间能量交互水平及其对系统可靠性水平的提升作用等角度出发,建立多区域电氢综合能源系统可靠性评估指标,并基于马尔科夫链蒙特卡洛模拟提出了氢能交互下的多区域电氢综合能源系统可靠性评估方法。最后,通过仿真算例分析验证了所提方法的正确性和有效性,并发现所提策略能充分挖掘、利用区域间的氢能交互从而有效提升系统供能可靠性水平。

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关键词 ：多区域电氢综合能源系统, 氢能交互, 马尔科夫链蒙特卡洛, 供能可靠性

Abstract：

The multi-regional electric-hydrogen integrated energy systems (MR-EH-IESs) formed by the regional interconnection of distribution grids and hydrogen supply networks (HSNs) can give full play to the advantages of low-carbon and flexible operation of HSNs, which is of great significance to the construction of a low-carbon and safe modern energy system. However, the existing research have not analyzed the flexibility mechanism of multi-regional HSNs and the interaction characteristics of inter-regional hydrogen on the reliable supply of electric and hydrogen loads to the system under multiple fault scenarios. And the optimal load shedding model in the existing reliability assessment cannot consider inter-regional energy interactions and multi-regional energy synergistic mechanisms. Moreover, there is a lack of effective reliability assessment indexes for MR-EH-IESs to quantify the level of reliable energy supply of the system. It means that it is not possible to provide a rational decision-making basis for the planning and construction of MR-EH-IESs. A reliability assessment method for MR-EH-IESs under hydrogen interaction is proposed, which effectively quantifies the reliability level of HSNs flexible resources for MR-EH-IESs under different fault scenarios.
Firstly, the cooperative operation mechanism and operation models of MR-EH-IESs are proposed considering the coordination between the inter-regional hydrogen interaction channels and the flexible resources of regional HSNs. Secondly, an optimal load shedding model of MR-EH-IESs considering the hydrogen interaction is established to minimize the total operation cost. Finally, the reliability evaluation indexes of MR-EH-IESs are constructed from the aspects of inter-regional energy interaction levels and their role in improving the reliability levels. A reliability evaluation method of MR-EH-IESs considering the hydrogen interaction is proposed based on Markov Chain Monte Carlo method.
The effectiveness of the proposed method is verified by simulation example analysis. The results of the simulations demonstrate that, when considering the synergistic operation mechanism, the expected inter-regional hydrogen interaction and inter-regional electricity interaction of MR-EH-IESs are 31.79 tons/year and 9744.53 kW·h/year, respectively. This leads to improvement in hydrogen supply reliability (43.80%) and electricity supply reliability (6.12%). And its total system operating cost is reduced by 3.759 million yuan/year. In essence, fully exploiting and utilizing the inter-regional hydrogen interaction can effectively improve the system energy supply reliability and operational economics. Additionally, reasonable configuring the parameters, such as the unit penalty cost of hydrogen load shedding and the capacity of inter-regional hydrogen tube trailer, can maximize the cost-effectiveness of MR-EH-IESs. And this achieving a relative balance between energy supply reliability and operational economics in MR-EH-IESs.
From the simulation results, the following conclusions can be drawn. (1) Considering the cooperative operation mechanism can make full use of the different characteristics of energy supply resources and energy demand in different regions, and effectively improve the reliability level of MR-EH-IESs through the coordination of inter-region hydrogen interaction channels and the flexible operation mechanism of intra-region HSNs. (2) Considering the cooperative operation mechanism can effectively reduce the total operation cost of the system, and the reasonable setting the unit penalty cost of hydrogen load shedding is conducive to guaranteeing the reliability level and economy level of MR-EH-IESs. (3) Increasing the capacity of inter-regional hydrogen tube trailer has a positive impact on enhancing the reliability of MR-EH-IESs, but this effect is limited by the availability and consumption of energy in each region.

Key words： Multi-region electricity-hydrogen integrated energy systems hydrogen interaction Markov Chain Monte Carlo energy supply reliability

收稿日期: 2023-06-24

PACS:

TM732

基金资助:

国家自然科学基金资助项目（52277080）

通讯作者: 任洲洋男,1986年生,副教授,博士生导师,研究方向为低碳电力能源系统与人工智能等。E-mail：rzhouyang1108@163.com

作者简介: 蒙军男,1999年生,硕士研究生,研究方向为电氢综合能源系统运行、规划与可靠性评估等。E-mail：mengjun0626@stu.cqu.edu.cn

引用本文:

蒙军, 任洲洋, 王皓. 氢能交互下的多区域电氢综合能源系统可靠性提升策略[J]. 电工技术学报, 0, (): 976-976. Meng Jun, Ren Zhouyang, Wang Hao. Reliability Improvement Strategies of Multi-Region Electricity-Hydrogen Integrated Energy Systems Considering Hydrogen Interaction between Different Regions. Transactions of China Electrotechnical Society, 0, (): 976-976.

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[1] 黄文涛, 邓明辉, 葛磊蛟, 等. 考虑配电网与氢燃料汽车耦合影响的制氢加氢站布点优化策略[J]. 高电压技术, 2023, 49(1): 105-117.
Huang Wentao, Deng Minghui, Ge Leijiao, et al.Layout optimization strategy of hydrogen production and refueling stations considering the coupling effect of distribution network and hydrogen fuel vehicles[J]. High Voltage Engineering, 2023, 49(1): 105-117.
[2] Sun Guangzeng, Li Gengyin, Li Panpan, et al.Coordinated operation of hydrogen-integrated urban transportation and power distribution networks considering fuel cell electric vehicles[J]. IEEE Transactions on Industry Applications, 2022, 58(2): 2652-2665.
[3] Ogbonnaya C, Abeykoon C, Nasser A, et al.Engineering risk assessment of photovoltaic-thermal-fuel cell system using classical failure modes, effects and criticality analyses[J]. Cleaner Environmental Systems, 2021, 2: 100021.
[4] Zheng Wendi, Li Yixin, Zhang Min, et al.Reliability evaluation and analysis for NEV charging station considering the impact of charging experience[J]. International Journal of Hydrogen Energy, 2022, 47(6): 3980-3993.
[5] 岳大为, 袁行行, 赵文体, 等. 含电-氢系统的孤岛型交直流混合微电网可靠性评估[J]. 高电压技术, 2021, 47(11): 4002-4012.
Yue Dawei, Yuan Hanghang, Zhao Wenti, et al.Reliability evaluation of islanded AC/DC hybrid microgrid with electricity-hydrogen system[J]. High Voltage Engineering, 2021, 47(11): 4002-4012.
[6] 任洲洋, 王皓, 李文沅, 等. 基于氢能设备多状态模型的电氢区域综合能源系统可靠性评估[J]. 电工技术学报, 2023, 38(24): 6744-6759.
Ren Zhouyang, Wang Hao, Li Wenyuan, et al.Reliability evaluation of electricity-hydrogen regional integrated energy systems based on the multi-state models of hydrogen energy equipment[J]. Transactions of China Electrotechnical Society, 2023, 38(24): 6744-6759.
[7] 袁铁江, 孙传帅, 谭捷, 等. 考虑氢负荷的新型电力系统电源规划[J]. 中国电机工程学报, 2022, 42(17): 6316-6326.
Yuan Tiejiang, Sun Chuanshuai, Tan Jie, et al.Generation planning of new power system considering hydrogen load[J]. Proceedings of the CSEE, 2022, 42(17): 6316-6326.
[8] Nasir M, Rezaee Jordehi A, Matin S A A, et al. Optimal operation of energy hubs including parking lots for hydrogen vehicles and responsive demands[J]. Journal of Energy Storage, 2022, 50: 104630.
[9] Oldenbroek V, Wijtzes S, Blok K, et al.Fuel cell electric vehicles and hydrogen balancing 100 percent renewable and integrated national transportation and energy systems[J]. Energy Conversion and Management: X, 2021, 9: 100077.
[10] Robledo C B, Oldenbroek V, Abbruzzese F, et al.Integrating a hydrogen fuel cell electric vehicle with vehicle-to-grid technology, photovoltaic power and a residential building[J]. Applied Energy, 2018, 215: 615-629.
[11] Dou Xun, Wang Jun, Fan Donglou, et al.Interaction mechanism and pricing strategy of hydrogen fueling station for hydrogen-integrated transportation and power systems[J]. IEEE Transactions on Industry Applications, 2022, 58(2): 2941-2949.
[12] Ban Mingfei, Bai Wenchao, Song Wenlong, et al.Optimal scheduling for integrated energy-mobility systems based on renewable-to-hydrogen stations and tank truck fleets[J]. IEEE Transactions on Industry Applications, 2022, 58(2): 2666-2676.
[13] 侯慧, 刘鹏, 黄亮, 等. 考虑不确定性的电-热-氢综合能源系统规划[J]. 电工技术学报, 2021, 36(增刊1): 133-144.
Hou Hui, Liu Peng, Huang Liang, et al.Planning of electricity-heat-hydrogen integrated energy system considering uncertainties[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 133-144.
[14] Haggi H, Sun Wei, Fenton J M, et al.Proactive rolling-horizon-based scheduling of hydrogen systems for resilient power grids[J]. IEEE Transactions on Industry Applications, 2022, 58(2): 1737-1746.
[15] 张亚超, 谢仕炜, 朱蜀. 多区域互联电-气耦合系统分散协调分布鲁棒优化调度[J]. 电力系统自动化, 2022, 46(19): 31-42.
Zhang Yachao, Xie Shiwei, Zhu Shu.Decentralized coordinated distributionally robust optimal scheduling of multi-area interconnected electricity-gas coupling system[J]. Automation of Electric Power Systems, 2022, 46(19): 31-42.
[16] 李晓露, 单福州, 宋燕敏, 等. 考虑热网约束和碳交易的多区域综合能源系统优化调度[J]. 电力系统自动化, 2019, 43(19): 52-59, 131.
Li Xiaolu, Shan Fuzhou, Song Yanmin, et al.Optimal dispatch of multi-region integrated energy systems considering heating network constraints and carbon trading[J]. Automation of Electric Power Systems, 2019, 43(19): 52-59, 131.
[17] Zhang Xiaping, Shahidehpour M, Alabdulwahab A, et al.Optimal expansion planning of energy hub with multiple energy infrastructures[J]. IEEE Transactions on Smart Grid, 2015, 6(5): 2302-2311.
[18] Tabandeh A, Hossain M J, Li Li.Integrated multi-stage and multi-zone distribution network expansion planning with renewable energy sources and hydrogen refuelling stations for fuel cell vehicles[J]. Applied Energy, 2022, 319: 119242.
[19] He Yingdong, Zhou Yuekuan, Liu Jia, et al.An inter-city energy migration framework for regional energy balance through daily commuting fuel-cell vehicles[J]. Applied Energy, 2022, 324: 119714.
[20] Zhao Yuxuan, Lin Jin, Song Yonghua, et al.A hierarchical strategy for restorative self-healing of hydrogen-penetrated distribution systems considering energy sharing via mobile resources[J]. IEEE Transactions on Power Systems, 2023, 38(2): 1388-1404.
[21] Baran M E, Wu F F.Network reconfiguration in distribution systems for loss reduction and load balancing[J]. IEEE Transactions on Power Delivery, 1989, 4(2): 1401-1407.
[22] Kou Yu, Bie Zhaohong, Li Gengfeng, et al.Reliability evaluation of multi-agent integrated energy systems with fully distributed communication[J]. Energy, 2021, 224: 120123.
[23] Wang Hao, Ren Zhouyang, Gao Liping, et al.A four-terminal interconnected topology and its application in distribution network expansion planning[J]. International Journal of Electrical Power & Energy Systems, 2022, 141: 108177.
[24] 李健强, 余光正, 汤波, 等. 考虑风光利用率和含氢能流的多能流综合能源系统规划[J]. 电力系统保护与控制, 2021, 49(14): 11-20.
Li Jianqiang, Yu Guangzheng, Tang Bo, et al.Multi-energy flow integrated energy system planning considering wind and solar utilization and containing hydrogen energy flow[J]. Power System Protection and Control, 2021, 49(14): 11-20.
[25] Wang Yifei, Huang Zhiheng, Shahidehpour M, et al.Reconfigurable distribution network for managing transactive energy in a multi-microgrid system[J]. IEEE Transactions on Smart Grid, 2020, 11(2): 1286-1295.
[26] 姜云鹏, 任洲洋, 李秋燕, 等. 考虑多灵活性资源协调调度的配电网新能源消纳策略[J]. 电工技术学报, 2022, 37(7): 1820-1835.
Jiang Yunpeng, Ren Zhouyang, Li Qiuyan, et al.An accommodation strategy for renewable energy in distribution network considering coordinated dispatching of multi-flexible resources[J]. Transactions of China Electrotechnical Society, 2022, 37(7): 1820-1835.
[27] Cheng Yaohua, Zhang Ning, Zhang Baosen, et al.Low-carbon operation of multiple energy systems based on energy-carbon integrated prices[J]. IEEE Transactions on Smart Grid, 2020, 11(2): 1307-1318.
[28] Chao Huawei, Hu Bo, Xie Kaigui, et al. A sequential MCMC model for reliability evaluation of offshore wind farms considering severe weather conditions[J]. IEEE Access, 1009, 7: 132552-132562.
[29] Abdelkafi A, Krichen L.Energy management optimization of a hybrid power production unit based renewable energies[J]. International Journal of Electrical Power & Energy Systems, 2014, 62: 1-9.
[30] 余娟, 时权妍, 杨知方, 等. 考虑电解水与甲烷化运行特性的电转气系统日前调度方法[J]. 电力系统自动化, 2019, 43(18): 18-25.
Yu Juan, Shi Quanyan, Yang Zhifang, et al.Day-ahead scheduling method of power-to-gas system considering operation characteristics of water electrolysis and methanation[J]. Automation of Electric Power Systems, 2019, 43(18): 18-25.
[31] 路红池, 谢开贵, 王学斌, 等. 计及多能存储和综合需求响应的多能源系统可靠性评估[J]. 电力自动化设备, 2019, 39(8): 72-78.
Lu Hongchi, Xie Kaigui, Wang Xuebin, et al.Reliability assessment of multi-energy system considering multi-storage and integrated demand response[J]. Electric Power Automation Equipment, 2019, 39(8): 72-78.
[32] 孙传帅. 计及氢负荷的电源规划研究[D]. 大连: 大连理工大学, 2021.
[33] 光大证券. 加氢网络是普及氢能应用的基础—燃料电池行业深度报告(二)[EB/OL]. [2019-05-16].https://pdf.dfcfw.com/pdf/H3_AP201905171330754548_1.pdf?1559747268000. pdf.
[34] 张雪寒, 余涛. 计及风速与负荷相关性的电-气互联系统概率可靠性评估方法[J]. 高电压技术, 2019, 45(10): 3263-3272.
Zhang Xuehan, Yu Tao.Probabilistic reliability evaluation method of electricity-gas integrated energy system considering correlation of wind speeds and loads[J]. High Voltage Engineering, 2019, 45(10): 3263-3272.
[35] Kurtz J, Sprik S, Peters M, et al.Retail hydrogen station reliability status and advances[J]. Reliability Engineering & System Safety, 2020: 106823.
[36] 李崇阳. 配电网-天然气互联系统可靠性评估模型研究[D]. 重庆: 重庆大学, 2018.
[37] 王澜灵, 刘俊勇, 许立雄, 等. 计及实时需求响应的综合能源信息物理系统可靠性分析[J]. 电力建设, 2020, 41(12): 23-38.
Wang Lanling, Liu Junyong, Xu Lixiong, et al.Reliability analysis of integrated energy cyber physical system considering real-time demand response[J]. Electric Power Construction, 2020, 41(12): 23-38.
[38] 侯恺, 林主成, 贾宏杰, 等. 可靠性与经济性协调的城市配电网联络线优化规划方法[J]. 天津大学学报(自然科学与工程技术版), 2019, 52(12): 1293-1302.
Hou Kai, Rim J, Jia Hongjie, Jia Hongjie, et al.Optimal planning of urban distribution network tie-line with coordination of reliability and economics[J]. Journal of Tianjin University (Science and Technology), 2019, 52(12): 1293-1302.