IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v396y2025ics0306261925010232.html

Collaborative planning of hydrogen refuelling stations and DRGs in ADN for distributed energy consumption and flexibility enhancement

Author

Listed:
  • Peng, Menghao
  • Zhao, Yuxuan
  • Li, Jiarong
  • Jing, Zhaoxia

Abstract

Integrating hydrogen refuelling stations (HRSs) equipped with the on-site electrolyser and fuel cell into the active distribution network (ADN) enhances both the consumption of distributed renewable generators' (DRGs) power generation and the operational flexibility of the ADN. To achieve this goal, a two-stage robust model is proposed for the collaborative planning of HRSs and DRGs within the ADN, encompassing investment and operation stages. In the investment stage, the site selection and component capacity determination of HRSs and DRGs are collaboratively determined. In the operation stage, the optimal scheduling of the ADN considering the relationship between the ADN and the transportation network (TN) is derived based on the planning results from the investment stage. By simulating the operation of the ADN with HRSs and DRGs in the operation stage, the optimal collaborative planning results that minimizes the total costs is determined. A user equilibrium (UE) traffic flow model is introduced to describe the travel and refuelling behaviours of hydrogen fuel cell vehicles (HFCVs) in the TN and to estimate their hydrogen refuelling demands. The two-stage robust collaborative planning model (TRCPM) is derived using robust optimisation to manage uncertainty and some linearisation techniques as well as the Nested Column-and-Constraint Generation (NC&CG) algorithm are introduced to make it tractable. Simulations on a hybrid 33-bus power distribution network and 24-node transportation network demonstrate the effectiveness of the proposed collaborative planning model.

Suggested Citation

  • Peng, Menghao & Zhao, Yuxuan & Li, Jiarong & Jing, Zhaoxia, 2025. "Collaborative planning of hydrogen refuelling stations and DRGs in ADN for distributed energy consumption and flexibility enhancement," Applied Energy, Elsevier, vol. 396(C).
    • Handle: RePEc:eee:appene:v:396:y:2025:i:c:s0306261925010232
    DOI: 10.1016/j.apenergy.2025.126293
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925010232
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2025.126293?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Shaterabadi, Mohammad & Ahmadi, Shahab & Ahmadi Jirdehi, Mehdi, 2024. "Stochastic energy planning of a deltoid structure of interconnected multilateral grids by considering hydrogen station and demand response programs," Applied Energy, Elsevier, vol. 375(C).
    2. Xu, Xinhai & Xu, Ben & Dong, Jun & Liu, Xiaotong, 2017. "Near-term analysis of a roll-out strategy to introduce fuel cell vehicles and hydrogen stations in Shenzhen China," Applied Energy, Elsevier, vol. 196(C), pages 229-237.
    3. Tahir, Mustafa & Hu, Sideng & Khan, Tahir & Zhu, Haoqi, 2024. "Multi-energy station design for future electric vehicles: A synergistic approach starting from scratch," Applied Energy, Elsevier, vol. 372(C).
    4. Chen, Siqi & Zhang, Kuan & Liu, Nian & Xie, Yawen, 2024. "Unlock the aggregated flexibility of electricity-hydrogen integrated virtual power plant for peak-regulation," Applied Energy, Elsevier, vol. 360(C).
    5. Li, Jiale & Yang, Bo & Huang, Jianxiang & Guo, Zhengxun & Wang, Jingbo & Zhang, Rui & Hu, Yuanweiji & Shu, Hongchun & Chen, Yixuan & Yan, Yunfeng, 2023. "Optimal planning of Electricity–Hydrogen hybrid energy storage system considering demand response in active distribution network," Energy, Elsevier, vol. 273(C).
    6. Dan, Zhaohui & Zhou, Bingling & Zhou, Yuekuan, 2025. "Optimal infrastructures and integrative energy networks for sustainable and energy-resilient city renaissance," Applied Energy, Elsevier, vol. 387(C).
    7. Tostado-Véliz, Marcos & Horrillo-Quintero, Pablo & García-Triviño, Pablo & Fernández-Ramírez, Luis M. & Jurado, Francisco, 2024. "Optimal sitting and sizing of hydrogen refilling stations in distribution networks under locational marginal prices," Applied Energy, Elsevier, vol. 374(C).
    8. Giovanniello, Michael Anthony & Wu, Xiao-Yu, 2023. "Hybrid lithium-ion battery and hydrogen energy storage systems for a wind-supplied microgrid," Applied Energy, Elsevier, vol. 345(C).
    9. Rahmaniani, Ragheb & Crainic, Teodor Gabriel & Gendreau, Michel & Rei, Walter, 2017. "The Benders decomposition algorithm: A literature review," European Journal of Operational Research, Elsevier, vol. 259(3), pages 801-817.
    10. Yang, Zhixue & Ren, Zhouyang & Li, Hui & Sun, Zhiyuan & Feng, Jianbing & Xia, Weiyi, 2024. "A multi-stage stochastic dispatching method for electricity‑hydrogen integrated energy systems driven by model and data," Applied Energy, Elsevier, vol. 371(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ge, Pingxu & Tang, Daogui & Yuan, Yuji & Guerrero, Josep M. & Zio, Enrico, 2025. "A hierarchical multi-objective co-optimization framework for sizing and energy management of coupled hydrogen-electricity energy storage systems at ports," Applied Energy, Elsevier, vol. 384(C).
    2. Hu, Linyuan & Zhang, Yuli & Wen, Muyang & Leus, Roel & Zhang, Ningwei, 2025. "Robust parallel machine selection and scheduling with uncertain release times," European Journal of Operational Research, Elsevier, vol. 327(3), pages 838-856.
    3. Lin, Rui & Zhong, Di & Lan, Shunbo & Guo, Rong & Ma, Yunyang & Cai, Xin, 2021. "Experimental validation for enhancement of PEMFC cold start performance: Based on the optimization of micro porous layer," Applied Energy, Elsevier, vol. 300(C).
    4. Esmaeilbeigi, Rasul & Mak-Hau, Vicky & Yearwood, John & Nguyen, Vivian, 2022. "The multiphase course timetabling problem," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1098-1119.
    5. Shen, Yi & Zhai, Junyi & Kang, Zhongjian & Zhao, Bei & Gao, Xianhui & Li, Zhengmao, 2025. "Distributionally robust chance-constrained energy management for island DC microgrid with offshore wind power hydrogen production," Energy, Elsevier, vol. 316(C).
    6. Özgün Elçi & John Hooker, 2022. "Stochastic Planning and Scheduling with Logic-Based Benders Decomposition," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2428-2442, September.
    7. Qinqin Xia & Yao Zou & Qianggang Wang, 2024. "Optimal Capacity Planning of Green Electricity-Based Industrial Electricity-Hydrogen Multi-Energy System Considering Variable Unit Cost Sequence," Sustainability, MDPI, vol. 16(9), pages 1-20, April.
    8. Shi, Zhiyuan & Hong, Shaozhi & Wang, Zeling & Li, Ang, 2026. "Exact solution approaches for the traveling salesman problem with a drone station," European Journal of Operational Research, Elsevier, vol. 328(3), pages 845-861.
    9. Di, Zhen & Yang, Lixing & Shi, Jungang & Zhou, Housheng & Yang, Kai & Gao, Ziyou, 2022. "Joint optimization of carriage arrangement and flow control in a metro-based underground logistics system," Transportation Research Part B: Methodological, Elsevier, vol. 159(C), pages 1-23.
    10. Wang, Shunchao, 2025. "Optimal sizing of Power-to-Ammonia plants: A stochastic two-stage mixed-integer programming approach," Energy, Elsevier, vol. 318(C).
    11. Huang, Mingzhong & He, Junliang & Yu, Hang & Wang, Yu, 2025. "Stack-based yard template generation in automated container terminals under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    12. Li, Nan & Zhao, Xunwen & Shi, Xunpeng & Pei, Zhenwei & Mu, Hailin & Taghizadeh-Hesary, Farhad, 2021. "Integrated energy systems with CCHP and hydrogen supply: A new outlet for curtailed wind power," Applied Energy, Elsevier, vol. 303(C).
    13. Kurnia, Jundika C. & Sasmito, Agus P. & Shamim, Tariq, 2017. "Performance evaluation of a PEM fuel cell stack with variable inlet flows under simulated driving cycle conditions," Applied Energy, Elsevier, vol. 206(C), pages 751-764.
    14. Taherkhani, Gita & Hosseini, Mojtaba & Hassanzadeh, Ali, 2025. "Exact solution method for multi-stakeholder freight transportation systems under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 200(C).
    15. Schmid, Nico André & Limère, Veronique & Raa, Birger, 2021. "Mixed model assembly line feeding with discrete location assignments and variable station space," Omega, Elsevier, vol. 102(C).
    16. Tostado-Véliz, Marcos & Horrillo-Quintero, Pablo & García-Triviño, Pablo & Fernández-Ramírez, Luis M. & Jurado, Francisco, 2024. "Optimal sitting and sizing of hydrogen refilling stations in distribution networks under locational marginal prices," Applied Energy, Elsevier, vol. 374(C).
    17. Mohseni, Soheil & Brent, Alan C. & Burmester, Daniel, 2020. "A comparison of metaheuristics for the optimal capacity planning of an isolated, battery-less, hydrogen-based micro-grid," Applied Energy, Elsevier, vol. 259(C).
    18. Zhu, Haohao & Wang, Xiluo & Wen, Yutong & Zhu, Jizhong & Li, Jiayi & Luo, Qingju & Liao, Chenlei, 2025. "A review of integrated energy system modeling and operation," Applied Energy, Elsevier, vol. 400(C).
    19. Roy, Tushar Kanti, 2026. "Techno-economic and environmental assessment of green hydrogen production in multiple Australian regions using different electrolyzer technologies," Renewable Energy, Elsevier, vol. 256(PB).
    20. Aliakbari Sani, Sajad & Bahn, Olivier & Delage, Erick, 2022. "Affine decision rule approximation to address demand response uncertainty in smart Grids’ capacity planning," European Journal of Operational Research, Elsevier, vol. 303(1), pages 438-455.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:396:y:2025:i:c:s0306261925010232. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.