电能-甲醇跨区协同输运下的电-氢耦合系统调度

doi:10.19595/j.cnki.1000-6753.tces.221965

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Abstract The electricity-hydrogen coupling system is an important way to promote the low-carbon transformation of energy structure. However, the supply and demand of electricity and hydrogen are the inverse distribution of time and space, which seriously restricts the low-carbon economic development of electricity-hydrogen coupling systems. The existing dispatching methods of cross-region electricity-hydrogen coupling systems have some problems, such as low utilization rate of new energy and high operating cost. Therefore, an electricity-hydrogen coupled system dispatching method considering the coordinated inter-region transportation of electricity and methanol is proposed in this paper. The supply and demand balance of regional electricity and hydrogen can be better through the coordinated inter-region transportation of electricity and methanol, so as to improve the inter-regional economic consumption level of new energy and the system operation economy.
First, based on the energy supply and demand characteristics of the sending and receiving areas, the operating characteristics of the electricity/hydrogen subsystems and the transport characteristics of methanol, the cross-regional cooperative operation mechanism and the dispatching framework of the electricity-hydrogen coupled systems are designed. Secondly, the supply and demand balance model is developed considering the coordinated inter-region transportation of electricity and methanol, so as to ensure regional energy demand under multi-time scales. Finally, a bi-level dispatching model of electricity-hydrogen coupling system is established under the electricity-methanol inter-region cooperative transport. The upper-level model determines the daily methanol transportation plan and unit commitment plan. The lower-level model is developed to determine the annual time series operation plan of the transmission and receiving zone. The characteristics of energy production and demand in the sending and receiving areas and the flexible transfer of time and space are fully considered in the bi-level dispatching model. In this way, the safe and economical operation of the cross-region electricity-hydrogen coupling systems can be realized under multi-energy coordination and multi-channel coordination.
The improved HRP 38 is used to test the proposed method. The simulation results indicate that compared with the existing operation dispatching methods of the cross-region electricity-hydrogen coupling systems under single energy transmission channel and electricity-hydrogen long-tube trailer transport, the operation dispatching method of the electricity-hydrogen coupling system using electricity-methanol inter-region collaborative transport can significantly improve the operation economy and new energy consumption of the system. Compared with a single energy transmission channel, electricity-methanol inter-regional collaborative transport expands the consumption channel of new energy. Through the reaction of hydrogen production and methanol synthesis in electrolytic cells, the surplus new energy can be converted into methanol, which can be transported to the receiving region through the transportation system, thus realizing the multi-channel inter-regional consumption of new energy. Compared with the energy transport only using methanol or electricity energy, this synergistic transport has increased energy consumption by 33 883 GW·h and 3 264 GW·h, respectively. Compared with electricity and long-tube trailer inter-region transport, electricity-methanol inter-regional collaborative transport takes advantage of methanol economic storage and transportation, reducing the system energy inter-region transport cost and system operation cost by 10.69%. At the same time, the simulation results of different hydrogen load permeability show that when the hydrogen load increases to a certain extent, in order to reduce the dependence on high purchased hydrogen, hydrogen production facilities in the system need to be expanded to ensure the economic operation of the system.
The following conclusions can be drawn from the simulation analyses in the paper.
(1) Considering the supply and demand characteristics of the sending and receiving regions, the utilization of electricity-methanol collaborative transport to optimize the scheduling of the cross-region electricity-hydrogen coupling system can promote the cross-region consumption of new energy and improve the level of low-carbon economic operation of the system.
(2) Methanol has significant economic advantages in long-distance energy storage and transportation, which can realize the transfer and optimal utilization of new energy across time and space.
(3) With the increase of hydrogen load permeability, the dependence of the hydrogen energy supply of the system on externally purchased hydrogen is gradually enhanced. It is necessary to timely increase the methanol transport capacity and the capacity of hydrogen production, storage and use equipment in accordance with the increase of hydrogen load.

Key words： Electricity-hydrogen coupling systems Methanol dispatching method supply and demand balance renewable energy

Received: 14 October 2022

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	Cheng Huan
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	Sun Zhiyuan
	Xia Weiyi

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Cheng Huan,Ren Zhouyang,Sun Zhiyuan等. A Dispatching for the Electricity-Hydrogen Coupling Systems Considering the Coordinated Inter-Region Transportation of Electricity and Methanol[J]. Transactions of China Electrotechnical Society, 2024, 39(3): 731-744.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.221965 OR https://dgjsxb.ces-transaction.com/EN/Y2024/V39/I3/731

[1] 潘光胜, 顾伟, 张会岩, 等. 面向高比例可再生能源消纳的电氢能源系统[J]. 电力系统自动化, 2020, 44(23): 1-10.
Pan Guangsheng, Gu Wei, Zhang Huiyan, et al.Electricity and hydrogen energy system towards accomodation of high proportion of renewable energy[J]. Automation of Electric Power Systems, 2020, 44(23): 1-10.
[2] 苏伟. 可再生能源制氢前景向好: 业内专家解读《氢能产业发展中长期规划》[N]. 中国电力报, 2022-04-02(2).
[3] 邱玥, 周苏洋, 顾伟, 等. “碳达峰、碳中和”目标下混氢天然气技术应用前景分析[J]. 中国电机工程学报, 2022, 42(4): 1301-1321.
Qiu Yue, Zhou Suyang, Gu Wei, et al.Application prospect analysis of hydrogen enriched compressed natural gas technologies under the target of carbon emission peak and carbon neutrality[J]. Proceedings of the CSEE, 2022, 42(4): 1301-1321.
[4] 姜海洋, 杜尔顺, 朱桂萍, 等. 面向高比例可再生能源电力系统的季节性储能综述与展望[J]. 电力系统自动化, 2020, 44(19): 194-207.
Jiang Haiyang, Du Ershun, Zhu Guiping, et al.Review and prospect of seasonal energy storage for power system with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2020, 44(19): 194-207.
[5] 韩笑, 张兴华, 闫华光, 等. 全球氢能产业政策现状与前景展望[J]. 电力信息与通信技术, 2021, 19(12): 27-34.
Han Xiao, Zhang Xinghua, Yan Huaguang, et al.Current situation and prospect of global hydrogen energy industry policy[J]. Electric Power Information and Communication Technology, 2021, 19(12): 27-34.
[6] 丁剑, 方晓松, 宋云亭, 等. 碳中和背景下西部新能源传输的电氢综合能源网构想[J]. 电力系统自动化, 2021, 45(24): 1-9.
Ding Jian, Fang Xiaosong, Song Yunting, et al.Conception of electricity and hydrogen integrated energy network for renewable energy transmission in Western China under background of carbon neutralization[J]. Automation of Electric Power Systems, 2021, 45(24): 1-9.
[7] 崔丽瑶, 刘怀东, 刘豪, 等. 基于氢能经济的电网大规模风电消纳模式[J]. 电力系统及其自动化学报, 2022, 34(2): 108-115.
Cui Liyao, Liu Huaidong, Liu Hao, et al.Large-scale wind power accommodation mode of power grid based on hydrogen energy economy[J]. Proceedings of the CSU-EPSA, 2022, 34(2): 108-115.
[8] Demirhan C D, Tso W W, Powell J B, et al.A multiscale energy systems engineering approach for renewable power generation and storage optimization[J]. Industrial & Engineering Chemistry Research, 2020, 59(16): 7706-7721.
[9] Yang Guoming, Jiang Yuewen, You Shi.Planning and operation of a hydrogen supply chain network based on the off-grid wind-hydrogen coupling system[J]. International Journal of Hydrogen Energy, 2020, 45(41): 20721-20739.
[10] Liu Bo, Liu Shixue, Guo Shusheng, et al.Economic study of a large-scale renewable hydrogen application utilizing surplus renewable energy and natural gas pipeline transportation in China[J]. International Journal of Hydrogen Energy, 2020, 45(3): 1385-1398.
[11] Timmerberg S, Kaltschmitt M.Hydrogen from renewables: supply from North Africa to Central Europe as blend in existing pipelines-potentials and costs[J]. Applied Energy, 2019, 237: 795-809.
[12] Li Jiarong, Lin Jin, Zhang Hongcai, et al.Optimal investment of electrolyzers and seasonal storages in hydrogen supply chains incorporated with renewable electric networks[J]. IEEE Transactions on Sustainable Energy, 2020, 11(3): 1773-1784.
[13] Jiang Haiyang, Qi Buyang, Du Ershun, et al.Modeling hydrogen supply chain in renewable electric energy system planning[J]. IEEE Transactions on Industry Applications, 2022, 58(2): 2780-2791.
[14] He Guannan, Mallapragada D S, Bose A, et al.Hydrogen supply chain planning with flexible transmission and storage scheduling[J]. IEEE Transactions on Sustainable Energy, 2021, 12(3): 1730-1740.
[15] 李争, 张蕊, 孙鹤旭, 等. 可再生能源多能互补制-储-运氢关键技术综述[J]. 电工技术学报, 2021, 36(3): 446-462.
Li Zheng, Zhang Rui, Sun Hexu, et al.Review on key technologies of hydrogen generation, storage and transportation based on multi-energy complementary renewable energy[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 446-462.
[16] 王江涛, 鹿晓斌. CO₂促进“甲醇经济”与“氢经济”共同发展[J]. 现代化工, 2021, 41(7): 14-18, 25.
Wang Jiangtao, Lu Xiaobin.Together development of “methanol economy” and “hydrogen economy” driven by CO₂ utilization[J]. Modern Chemical Industry, 2021, 41(7): 14-18, 25.
[17] 徐钢, 薛小军, 张钟, 等. 一种基于电解水制氢及甲醇合成的碳中和能源技术路线[J]. 中国电机工程学报, 2023, 43(1): 191-200.
Xu Gang, Xue Xiaojun, Zhang Zhong, et al.A new carbon neutral energy technology route based on electrolytic water to hydrogen and methanol synthesis[J]. Proceedings of the CSEE, 2023, 43(1): 191-200.
[18] Gu Yu, Wang Danfeng, Chen Qianqian, et al.Techno-economic analysis of green methanol plant with optimal design of renewable hydrogen production: a case study in China[J]. International Journal of Hydrogen Energy, 2022, 47(8): 5085-5100.
[19] 胡艳芳. 千吨级“液态太阳燃料合成示范项目”通过鉴定[J]. 炼油技术与工程, 2020, 50(11): 34.
Hu Yanfang.Thousand-ton “liquid solar fuel synthesis demonstration project” passed the appraisal[J]. Petroleum Refinery Engineering, 2020, 50(11): 34.
[20] 李利利, 管益斌, 耿建, 等. 月度安全约束机组组合建模及求解[J]. 电力系统自动化, 2011, 35(12): 27-31, 64.
Li Lili, Guan Yibin, Geng Jian, et al.Modeling and solving for monthly security constrained unit commitment problem[J]. Automation of Electric Power Systems, 2011, 35(12): 27-31, 64.
[21] 林祖贵, 颜伟, 罗锡斌, 等. 基于分层时序生产模拟的省级电网公司年度购电策略优化方法[J]. 电网技术, 2023, 47(5): 1931-1941.
Lin Zugui, Yan Wei, Luo Xibin, et al.Annual electricity purchase strategy optimization method of provincial power grid company based on hierarchical sequential production simulation[J].Power System Technology, 2023, 47(5): 1931-1941.
[22] 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.
[23] 乔韦军, 肖国鹏, 张磊, 等. 甲醇水蒸气重整制氢CuO/La₁-_xCe_xCrO₃催化剂[J]. 燃料化学学报, 2021, 49(2): 205-210.
Qiao Weijun, Xiao Guopeng, Zhang Lei, et al.Catalytic performance of CuO/La₁-_xCe_xCrO₃ in the steam reforming of methanol[J]. Journal of Fuel Chemistry and Technology, 2021, 49(2): 205-210.
[24] 王魁. 含大规模风电电力系统多时空尺度协调的若干问题研究[D]. 武汉: 华中科技大学, 2013.
Wang Kui.Research on some problems of multiple time and space scale coordination of wind power integrated system[D]. Wuhan: Huazhong University of Science and Technology, 2013.
[25] 曹胡辉, 裘智峰, 向劲勇, 等. 考虑中长期交易与短期调度衔接的风电消纳模型[J]. 电网技术, 2020, 44(11): 4200-4210.
Cao Huhui, Qiu Zhifeng, Xiang Jinyong, et al.Wind power accommodation model considering the link of medium and long-term transactions with short-term dispatch[J]. Power System Technology, 2020, 44(11): 4200-4210.
[26] 王成山, 吕超贤, 李鹏, 等. 园区型综合能源系统多时间尺度模型预测优化调度[J]. 中国电机工程学报, 2019, 39(23): 6791-6803, 7093.
Wang Chengshan, Lü Chaoxian, Li Peng, et al.Multiple time-scale optimal scheduling of community integrated energy system based on model predictive control[J]. Proceedings of the CSEE, 2019, 39(23): 6791-6803, 7093.
[27] 刘海镇, 徐丽, 王新华, 等. 电网氢储能场景下的固态储氢系统及储氢材料的技术指标研究[J]. 电网技术, 2017, 41(10): 3376-3384.
Liu Haizhen, Xu Li, Wang Xinhua, et al.Technical indicators for solid-state hydrogen storage systems and hydrogen storage materials for grid-scale hydrogen energy storage application[J]. Power System Technology, 2017, 41(10): 3376-3384.
[28] Baetcke L, Kaltschmitt M.Hydrogen supply chains[M]. Amsterdam: Elsevier, 2018.
[29] 王泽镝, 滕云, 闫佳佳, 等. 垃圾能源利用与城市多能源系统协同优化模型[J]. 电工技术学报, 2021, 36(21): 4470-4481.
Wang Zedi, Teng Yun, Yan Jiajia, et al.The optimal model based on waste resourceful and urban multi-energy system collaborative[J]. Transactions of China Electrotechnical Society, 2021, 36(21): 4470-4481.
[30] Zhuo Zhenyu, Zhang Ning, Yang Jingwei, et al.Transmission expansion planning test system for AC/DC hybrid grid with high variable renewable energy penetration[J]. IEEE Transactions on Power Systems, 2020, 35(4): 2597-2608.
[31] 陈升华. 2021—2022年度中国甲醇行业市场分析报告(中)[J]. 广州化工, 2022, 50(4): 1-3.
Chen Shenghua.Market analysis report of methanol industry in China in 2021-2022 (Ⅱ)[J]. Guangzhou Chemical Industry, 2022, 50(4): 1-3.
[32] 崔杨, 曾鹏, 王铮, 等. 考虑碳捕集电厂能量转移特性的弃风消纳多时间尺度调度策略[J]. 中国电机工程学报, 2021, 41(3): 946-961.
Cui Yang, Zeng Peng, Wang Zheng, et al.Multiple time scales scheduling strategy of wind power accommodation considering energy transfer characteristics of carbon capture power plant[J]. Proceedings of the CSEE, 2021, 41(3): 946-961.
[33] Gu Yu, Chen Qianqian, Xue Junli, et al.Comparative techno-economic study of solar energy integrated hydrogen supply pathways for hydrogen refueling stations in China[J]. Energy Conversion and Management, 2020, 223: 113240.
[34] 李骥, 张慧媛, 程杰慧, 等. 基于源荷状态的跨区互联系统协调优化调度[J]. 电力系统自动化, 2020, 44(17): 26-33.
Li Ji, Zhang Huiyuan, Cheng Jiehui, et al.Coordinated and optimal scheduling of inter-regional interconnection system based on source and load status[J]. Automation of Electric Power Systems, 2020, 44(17): 26-33.
[35] Sánchez A, Martín M, Zhang Qi.Optimal design of sustainable power-to-fuels supply chains for seasonal energy storage[J]. Energy, 2021, 234: 121300.
[36] 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.