基于氢能固态运输的电-氢综合能源系统双层调度模型

doi:10.19595/j.cnki.1000-6753.tces.240203

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摘要

中短距离氢能运输需求下,长管拖车运氢具有较好经济性,但长管拖车的储氢密度低,且高压氢气存在爆炸和泄漏等风险。为此,本文提出一种基于氢能固态运输的电-氢综合能源系统(EHIES)双层调度模型。首先,通过分析金属固态储氢机理,并利用氢能气-固两相转换过程中压强与反应温度关系,构建氢能固态运载车(HSTV)的装卸模型。其次,采用改进含时间窗车辆路径问题构建HSTV的运输模型。最后,基于隶属度的信息间隙决策理论(M-IGDT)建立EHIES日前双层调度模型,并将所提双层模型转换成单层模型求解。采用改进的IEEE 118和IEEE 300系统仿真,结果表明氢能固态运输能有效提升氢能运输效率和系统经济性。

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关键词 ：电-氢综合能源系统, 氢能固态运输, 信息间隙决策理论, 双层调度

Abstract：

Hydrogen, as a high-quality secondary energy source, has diverse sources and wide application scenarios. On the one hand, utilizing solar and wind energy to produce hydrogen can promote large-scale consumption of renewable energy and contribute to deep decarbonization in industry. On the other hand, hydrogen has a high energy density and is convenient for storage and transportation, which helps with cross-regional energy storage. Therefore, building an electricity-hydrogen integrated energy system (EHIES) with electricity and hydrogen as the main energy carriers will contribute to the low-carbon conversion of China's energy system and is an effective way to achieve the full utilization of high proportion renewable energy.
In EHIES, hydrogen energy is often transported and stored in gaseous or liquid form. Unfortunately, gaseous hydrogen storage has drawbacks such as low storage density, limited storage and transport capacity, and low transport efficiency. Meanwhile, this method also carries risks of explosion and leakage. Liquid hydrogen needs to be liquefied in ultra-low temperature environments, with high liquefaction energy consumption and difficult to demonstrate economic advantages. The solidity transport of hydrogen, as a transport technology of hydrogen with relatively loose pressure and temperature conditions, has advantages such as high transport efficiency, low cost, and good safety. It has scientific research value for the safe and economical operation of hydrogen energy storage and transport within EHIES. Therefore, this paper proposes an EHIES bi-level dispatching model based on hydrogen for solidity transport.
Firstly, the mechanism of metal solidity hydrogen storage is analyzed. Hydrogen loading and unloading models for hydrogen solidity transport vehicle (HSTV) are constructed by utilizing the relationship between the intensity of pressure and reaction temperatures during the gaseity and solidity transform of hydrogen. Then, an improved vehicle routing problem with time windows is adopted to construct a transport model for HSTV. By optimizing the transport routes of HSTV within EHIES using this model, hydrogen can be reasonably allocated from the hydrogen production plant to various hydrogen fueling stations. Finally, according to the membership information gap decision theory (M-IGDT), an EHIES bi-level dispatching model is established and it has further been converted to a single-level problem for solution.
The effectiveness of the proposed method is verified by performing simulation analysis on the improved IEEE 118 system and IEEE 300 system. The following conclusions can be drawn from the simulation results. (1) The proposed dispatching strategy can couple electricity, hydrogen, transport networks, and renewable energy generation, and can collaboratively optimize the operation of the power and hydrogen systems, improving the system economy. (2) HSTV has a large hydrogen carrying capacity, which is 4-5 times that of current high-pressure long tube trailers. Solidity hydrogen transportation has significant economic advantages in hydrogen transport. (3) The M-IGDT can collaborative optimize the uncertainty of renewable energy and the operating costs of EHIES, quantifying the uncertainty of renewable energy from both economic and robust perspectives, and has a positive effect on the economic and reliable operation of EHIES.
The changes in electricity and hydrogen prices have not been taken into account in this model. In the market environment, energy prices are jointly determined by various market entities. However, there are complex multiple-game relationships between hydrogen production plants, hydrogen fueling stations, and conventional power entities. The research plan in the future is about the trading strategies and optimal operating schemes for hydrogen fueling stations in the market environment.

Key words： Electricity-hydrogen integrated energy system hydrogen solidity transport information gap decision theory bi-level optimization dispatching

收稿日期: 2024-01-30

PACS:

TM73

基金资助:

国家自然科学基金资助项目（52307109）

通讯作者: 王秋杰男,1988年生,博士,硕士生导师,研究方向为综合能源系统优化调度、弹性配电网。Email：wangqiujie@ctgu.edu.cn

作者简介: 谭洪男,1991年生,博士,硕士生导师,研究方向为综合能源系统优化运行与规划。E-mail：tanhong@ctgu.edu.cn

引用本文:

谭洪, 王宇炜, 王秋杰, 李辉, 李振兴. 基于氢能固态运输的电-氢综合能源系统双层调度模型[J]. 电工技术学报, 0, (): 240203-. Tan Hong, Wang Yuwei, Wang Qiujie, Li Hui, Li Zhenxing. A Bi-Level Dispatching Model for Electricity-Hydrogen Integrated Energy System Based on Hydrogen Solidity Transport. Transactions of China Electrotechnical Society, 0, (): 240203-.

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[1] 刘小奇, 陈瑶, 周友, 等. 大规模电氢耦合系统:中欧大型能源企业的技术视角分析与展望[J]. 中国电机工程学报, 2023, 43(18): 7003-7010.
Liu Xiaoqi, Chen Yao, Zhou You, et al.Large-scale power-hydrogen coupling systems: technical perspective analysis and prospect of large energy companies in China and Europe[J]. Proceedings of the CSEE, 2023, 43(18): 7003-7010.
[2] Abomazid A M, El-Taweel N A, Farag H E Z. Optimal energy management of hydrogen energy facility using integrated battery energy storage and solar photovoltaic systems[J]. IEEE Transactions on Sustainable Energy, 2022, 13(3): 1457-1468.
[3] 严思韵, 周登极. 综合能源天然气网混氢输运的仿真与调度综述[J]. 中国电机工程学报, 2022, 42(24): 8816-8832.
Yan Siyun, Zhou Dengji.Review of simulation and scheduling of hydrogen-blended transportation in natural gas network of integrated energy system[J]. Proceedings of the CSEE, 2022, 42(24): 8816-8832.
[4] Roy A, Pramanik S.A review of the hydrogen fuel path to emission reduction in the surface transport industry[J]. International Journal of Hydrogen Energy, 2024, 49: 792-821.
[5] 周孝信, 陈树勇, 鲁宗相, 等. 能源转型中我国新一代电力系统的技术特征[J]. 中国电机工程学报, 2018, 38(7): 1893-1904, 2205.
Zhou Xiaoxin, Chen Shuyong, Lu Zongxiang, et al.Technology features of the new generation power system in China[J]. Proceedings of the CSEE, 2018, 38(7): 1893-1904, 2205.
[6] Zhu Mengshu, Fang Jiakun, Ai Xiaomeng, et al.A comprehensive methodology for optimal planning of remote integrated energy systems[J]. Energy, 2023, 285: 129443.
[7] 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.
[8] 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/OL]. 电工技术学报, 2023: 1-17. https://doi.org/10.19595/j.cnki.1000-6753.tces.230976.
Meng Jun, Ren Zhouyang, Wang Hao. Reliability improvement strategies of multi-region electricity-hydrogen integrated energy systems considering hydrogen interaction between different regions[J/OL]. Transactions of China Electrotechnical Society, 2023: 1-17. https://doi.org/10.19595/j.cnki.1000-6753.tces.230976.
[9] 刘文昕, 方家琨, 胡可崴, 等. 计及氢气-天然气混输的气电综合能源系统动态最优能流计算[J]. 电工技术学报, 2023, 38(增刊1): 1-17.
Liu Wenxin, Fang Jiakun, Hu Kewei, et al.Dynamic optimal energy flow in the integrated natural gas and electrical power systems considering hydrogen-blended transient transportation process[J]. Transactions of China Electrotechnical Society, 2023, 38(S1): 1-17.
[10] 程欢, 任洲洋, 孙志媛, 等. 电能-甲醇跨区协同输运下的电-氢耦合系统调度[J]. 电工技术学报, 2024, 39(3): 731-744.
Cheng Huan, Ren Zhouyang, Sun Zhiyuan, et al.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.
[11] d’Amore-Domenech R, Meca V L, Pollet B G, et al. On the bulk transport of green hydrogen at sea: Comparison between submarine pipeline and compressed and liquefied transport by ship[J]. Energy, 2023, 267: 126621.
[12] Muduli R C, Kale P.Synergetic effect of porous silicon-Nickel composite on its solid-state hydrogen energy storage properties[J]. International Journal of Hydrogen Energy, 2023, 48(90): 35185-35196.
[13] Wang Yuhang, Dai Hui, Chen Zeqi, et al.Simulation study on a novel solid-gas coupling hydrogen storage method for photovoltaic hydrogen production systems[J]. Energy Conversion and Management, 2024, 299: 117866.
[14] 刘玮, 万燕鸣, 熊亚林, 等. 碳中和目标下电解水制氢关键技术及价格平准化分析[J]. 电工技术学报, 2022, 37(11): 2888-2896.
Liu Wei, Wan Yanming, Xiong Yalin, et al.Key technology of water electrolysis and levelized cost of hydrogen analysis under carbon neutral vision[J]. Transactions of China Electrotechnical Society, 2022, 37(11): 2888-2896.
[15] 郜捷, 宋洁, 王剑晓, 等. 支撑中国能源安全的电氢耦合系统形态与关键技术[J]. 电力系统自动化, 2023, 47(19): 1-15.
Gao Jie, Song Jie, Wang Jianxiao, et al.Form and key technologies of integrated electricity-hydrogen system supporting energy security in China[J]. Automation of Electric Power Systems, 2023, 47(19): 1-15.
[16] Tan Hong, Li Zhenxing, Wang Qiujie, et al.A novel forecast scenario-based robust energy management method for integrated rural energy systems with greenhouses[J]. Applied Energy, 2023, 330: 120343.
[17] 谭洪, 颜伟, 王浩. 基于建筑物热能流分析的沼-风-光孤立微能网优化调度模型[J]. 电网技术, 2020, 44(7): 2483-2492.
Tan Hong, Yan Wei, Wang Hao.Optimal dispatch model of Biogas-wind-solar isolated multi-energy micro-grid based on thermal energy flow analysis of buildings[J]. Power System Technology, 2020, 44(7): 2483-2492.
[18] Tan Hong, Yan Wei, Ren Zhouyang, et al.Distributionally robust operation for integrated rural energy systems with broiler houses[J]. Energy, 2022, 254: 124398.
[19] Izadi M, Hossein Hosseinian S, Dehghan S, et al.Resiliency-Oriented operation of distribution networks under unexpected wildfires using Multi-Horizon Information-Gap decision theory[J]. Applied Energy, 2023, 334: 120536.
[20] Khaloie H, Vallée F, Lai C S, et al.Day-ahead and intraday dispatch of an integrated biomass-concentrated solar system: a multi-objective risk-controlling approach[J]. IEEE Transactions on Power Systems, 2022, 37(1): 701-714.
[21] Boroumandfar G, Khajehzadeh A, Eslami M, et al.Information gap decision theory with risk aversion strategy for robust planning of hybrid photovoltaic/wind/battery storage system in distribution networks considering uncertainty[J]. Energy, 2023, 278: 127778.
[22] Song Mengchen, Zhang Liuting, Wu Fuying, et al.Recent advances of magnesium hydride as an energy storage material[J]. Journal of Materials Science & Technology, 2023, 149: 99-111.
[23] Lu Chenglin, Liu Haizhen, Xu Li, et al.Two-dimensional vanadium carbide for simultaneously tailoring the hydrogen sorption thermodynamics and kinetics of magnesium hydride[J]. Journal of Magnesium and Alloys, 2022, 10(4): 1051-1065.
[24] Tasouji Hassanpour S, Ke G Y, Tulett D M.A time-dependent location-routing problem of hazardous material transportation with edge unavailability and time window[J]. Journal of Cleaner Production, 2021, 322: 128951.
[25] Sakawa M.Fuzzy sets and interactive multiobjective optimization[M]. Boston, MA: Springer US, 1993.
[26] Cheng Tianshi, Lin Ning, Dinavahi V.Hybrid parallel-in-time-and-space transient stability simulation of large-scale AC/DC grids[J]. IEEE Transactions on Power Systems, 2022, 37(6): 4709-4719.
[27] Dong Xiaoming, Ma Yue, Wang Yong, et al.An improved power flow calculation method based on linear regression for multi-area networks with information barriers[J]. International Journal of Electrical Power & Energy Systems, 2022, 142: 108385.
[28] Tan Hong, Yan Wei, Ren Zhouyang, et al.A robust dispatch model for integrated electricity and heat networks considering price-based integrated demand response[J]. Energy, 2022, 239: 121875.