LOCATION AND CAPACITY DETERMINATION OF HYDROGEN PRODUCTION AND REFUELING STATIONS IN COUPLING FRAMEWORK OF TRANSPORTATION NETWORK AND POWER GRID

Zhao Yuanfa; Si Yang; Ma Linrui; Gao Mengyu; Su Xiaoling

doi:10.19912/j.0254-0096.tynxb.2023-0619

PDF(2594 KB)

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (8) : 54-62. DOI: 10.19912/j.0254-0096.tynxb.2023-0619

LOCATION AND CAPACITY DETERMINATION OF HYDROGEN PRODUCTION AND REFUELING STATIONS IN COUPLING FRAMEWORK OF TRANSPORTATION NETWORK AND POWER GRID

Zhao Yuanfa, Si Yang, Ma Linrui, Gao Mengyu, Su Xiaoling

Author information +

History +

Abstract

The rational planning of hydrogen production and refueling stations （HPRS） is critical for the development of hydrogen fuel cell vehicles. This paper proposes a method for HPRS planning based on the coupling framework of transportation networks and power grids. The method focuses on site selection and capacity determination of HPRS within large-scale distributed renewable energy integrated power systems. Firstly, by simulating the driving patterns of hydrogen fuel vehicles using an urban road network impedance information model, the spatial-temporal distribution of hydrogen refueling load at the transportation network level is obtained. Then, a multi-objective evaluation-based model for site selection and capacity determination is constructed, taking into account factors such as construction and operation costs, hydrogen refueling load coverage of the transportation network, and power grid stability. The model utilizes an improved particle swarm optimization algorithm to solve for the optimal site selection and equipment capacity of HPRS. The effectiveness of the proposed method is verified through case studies on a 33-node power grid and a 25-node transportation network, demonstrating its ability to reduce power grid losses and voltage deviation caused by HPRS integration, enhance the self-consumption rate of renewable energy, improve the transportation network service quality of HPRS, and reduce construction and operation costs.

Key words

regional planning / hydrogen production / hydrogen refueling station / site selection / transportation network / power distribution network

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Zhao Yuanfa, Si Yang, Ma Linrui, Gao Mengyu, Su Xiaoling. LOCATION AND CAPACITY DETERMINATION OF HYDROGEN PRODUCTION AND REFUELING STATIONS IN COUPLING FRAMEWORK OF TRANSPORTATION NETWORK AND POWER GRID[J]. Acta Energiae Solaris Sinica. 2024, 45(8): 54-62 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0619

References

[1] 李佳琪, 徐潇源, 严正. 大规模新能源汽车接入背景下的电氢能源与交通系统耦合研究综述[J]. 上海交通大学学报, 2022, 56(3): 253-266.
LI J Q, XU X Y, YAN Z.A review of coupled electricity and hydrogen energy system with transportation system under the background of large-scale new energy vehicles access[J]. Journal of Shanghai Jiao Tong University, 2022, 56(3): 253-266.
[2] 胡海涛, 郑政, 何正友, 等. 交通能源互联网体系架构及关键技术[J]. 中国电机工程学报, 2018, 38(1): 12-24, 339.
HU H T, ZHENG Z, HE Z Y, et al.The framework and key technologies of traffic energy internet[J]. Proceedings of the CSEE, 2018, 38(1): 12-24, 339.
[3] 李亮荣, 彭建, 付兵, 等. 碳中和愿景下绿色制氢技术发展趋势及应用前景分析[J]. 太阳能学报, 2022, 43(6): 508-520.
LI L R, PENG J, FU B, et al.Development trend and application prospect of green hydrogen production technologies under carbon neutrality vision[J]. Acta energiae solaris sinica, 2022, 43(6): 508-520.
[4] 刘峻, 赵汪, 高学强, 等. 全球加氢站产业、技术及标准进展综述[J].太阳能学报, 2022,43(6): 362-372.
LIU J, ZHAO W, GAO X Q, et al.Review on advances in industry technology, and standard of global hydrogen refuelling stations[J]. Acta energiae solaris sinica, 2022, 43(6): 362-372.
[5] 张继红, 阚圣钧, 化玉伟, 等. 基于氢气储能的热电联供微电网容量优化配置[J]. 太阳能学报, 2022, 43(6): 428-434.
ZHANG J H, KAN S J, HUA Y W, et al.Capacity optimization of CHP microgrid based on hydrogen energy storage[J]. Acta energiae solaris sinica, 2022, 43(6): 428-434.
[6] HE C M, SUN H R, XU Y, et al.Hydrogen refueling station siting of expressway based on the optimization of hydrogen life cycle cost[J]. International journal of hydrogen energy, 2017, 42(26): 16313-16324.
[7] SUN H R, HE C M, YU X Z, et al.Optimal siting and sizing of hydrogen refueling stations considering distributed hydrogen production and cost reduction for regional consumers[J]. International journal of energy research, 2019, 43(9): 4184-4200.
[8] ZHENG Q H, LV H, ZHOU W, et al.Research on multi-period hydrogen refueling station location model in jiading district[J]. World electric vehicle journal, 2021, 12(3): 146-151.
[9] YANG G M, JIANG Y W.Siting and sizing of the hydrogen refueling stations with on-site water electrolysis hydrogen production based on robust regret[J]. International journal of energy research, 2020, 44(11): 8340-8361.
[10] FABIAN G, LUCY D, MARTIN R, et al.Carsharing with fuel cell vehicles: sizing hydrogen refueling stations based on refueling behavior[J]. Applied energy, 2018, 228(Oct.15 Pt.1091/2580): 1540-1549.
[11] GHAHARI S A, MIRALINAGHI M, LABI S.Multi-time period model for hydrogen refueling station locations considering budget constraints[C]//58th Transportation Research Forum Annual Conference. Beijing, China, 2017.
[12] WU X, QI S, WANG Z, et al.Optimal scheduling for microgrids with hydrogen fueling stations considering uncertainty using data-driven approach[J]. Applied energy, 2019, 253(1): 1540-1549.
[13] 项寅. 考虑产业布局和用户满意度的氢能源汽车加氢网络优化模型[J]. 中国管理科学, 2023, 31(5): 164-175.
XIANG Y.Hydrogenation infrastructure network optimization considering industrial layout and customer satisfaction[J]. Chinese journal of management science: 2023, 31(5): 164-175.
[14] 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 W T, DENG M H, GE L J, 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.
[15] ZHANG H C, QI W, HU Z, et al.Planning hydrogen refueling stations with coordinated on-site electrolytic production[C]//Power and Energy Society General Meeting. Chicago, USA, IEEE, 2017.
[16] 刘子璇, 张强. 考虑风电消纳的电—气储能系统的选址与定容研究[J]. 现代盐化工, 2022, 49(5): 67-71.
LIU Z X, ZHANG Q.Analysis of quality control measures in water quality laboratory analysis[J]. Modern salt and chemical industry, 2022, 49(5): 67-71.
[17] 江岳文, 杨国铭, 朱振山. 考虑交通流量捕获的风-氢-电耦合网络规划[J]. 电力系统自动化, 2021, 45(22): 19-28.
JIANG Y W, YANG G M, ZHU Z S.Wind-hydrogen-electricity coupled network planning considering traffic flow capture[J]. Automation of electric power systems, 2021, 45(22): 19-28.
[18] 李晓辉, 李磊, 刘伟东, 等. 基于动态交通信息的电动汽车充电负荷时空分布预测[J]. 电力系统保护与控制, 2020, 48(1): 117-125.
LI X H, LI L, LIU W D, et al.Spatial-temporal distribution prediction of charging load for electric vehicles based on dynamic traffic information[J]. Power system protection and control, 2020, 48(1): 117-125.
[19] 余婷. 基于实时路况的交通网络耗时最优路径研究[D]. 南京: 南京林业大学, 2017.
YU T.Study of optimal path in traffic network with random link travel times based on real-time traffic information[D]. Nanjing: Nanjing Forestry University, 2017.
[20] 王凯亮, 孔慧超, 李俊辉, 等. 考虑配电网可靠性的储能系统选址定容优化[J]. 南方电网技术, 2022, 16(4): 21-29.
WANG K L, KONG H C, LI J H, et al.Optimization of energy storage system location and capacity considering the reliability of distribution network[J]. Southern power system technology, 2022, 16(4): 21-29
[21] 刘泽健, 杨苹, 许志荣. 考虑典型日经济运行的综合能源系统容量配置[J]. 电力建设, 2017, 38(12): 51-59.
LIU Z J, YANG P, XU Z R.Capacity allocation of integrated energy system considering typical day economic operation[J]. Electric power construction, 2017, 38(12): 51-59.