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

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  • 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
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    References listed on IDEAS

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    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).
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