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Optimal energy management of multiple electricity-hydrogen integrated charging stations

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  • Fang, Xiaolun
  • Wang, Yubin
  • Dong, Wei
  • Yang, Qiang
  • Sun, Siyang

Abstract

Hydrogen is considered promising for the replacement of fossil fuels in integrated energy systems through hydrogen energy storage (HES). This paper considers multiple electricity-hydrogen integrated charging stations (EHI-CSs) as a unit consisting of photovoltaic systems and HES systems for charging plug-in electric vehicles and refilling hydrogen fuel vehicles. In the multiple EHI-CSs unit, a set of interconnected EHI-CSs can be supplied by other EHI-CSs or power utilities and an EHI-CSs aggregator can manage the individual EHI-CSs through controllable facilities (i.e., HES system) and adjustment methods (i.e., energy transportation between subsystems). Meanwhile, a two-stage energy management system (EMS) strategy is proposed to coordinate the day-ahead scheduling and real-time dispatch. In the day-ahead scheduling stage, the aggregator minimizes the cost of the overall multiple EHI-CSs unit through optimization, and in the real-time dispatching stage, the intraday energy dispatch based model predictive control (MPC) is carried out to minimize the penalty cost. The proposed two-stage EMS strategy is evaluated through simulations and the numerical results confirm that the proposed solution outperforms the baseline solution with additional economic benefit.

Suggested Citation

  • Fang, Xiaolun & Wang, Yubin & Dong, Wei & Yang, Qiang & Sun, Siyang, 2023. "Optimal energy management of multiple electricity-hydrogen integrated charging stations," Energy, Elsevier, vol. 262(PB).
    • Handle: RePEc:eee:energy:v:262:y:2023:i:pb:s0360544222025105
    DOI: 10.1016/j.energy.2022.125624
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    References listed on IDEAS

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    1. Apostolou, D. & Xydis, G., 2019. "A literature review on hydrogen refuelling stations and infrastructure. Current status and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    2. Das, Saborni & Basu, Mousumi, 2020. "Day-ahead optimal bidding strategy of microgrid with demand response program considering uncertainties and outages of renewable energy resources," Energy, Elsevier, vol. 190(C).
    3. Ganesh, Akhil Hannegudda & Xu, Bin, 2022. "A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    4. Panah, Payam Ghaebi & Bornapour, Mosayeb & Hemmati, Reza & Guerrero, Josep M., 2021. "Charging station Stochastic Programming for Hydrogen/Battery Electric Buses using Multi-Criteria Crow Search Algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    5. Petrollese, Mario & Valverde, Luis & Cocco, Daniele & Cau, Giorgio & Guerra, José, 2016. "Real-time integration of optimal generation scheduling with MPC for the energy management of a renewable hydrogen-based microgrid," Applied Energy, Elsevier, vol. 166(C), pages 96-106.
    6. Wang, Yubin & Dong, Wei & Yang, Qiang, 2022. "Multi-stage optimal energy management of multi-energy microgrid in deregulated electricity markets," Applied Energy, Elsevier, vol. 310(C).
    7. Wang, Longze & Jiao, Shucen & Xie, Yu & Xia, Shiwei & Zhang, Delong & Zhang, Yan & Li, Meicheng, 2022. "Two-way dynamic pricing mechanism of hydrogen filling stations in electric-hydrogen coupling system enhanced by blockchain," Energy, Elsevier, vol. 239(PC).
    8. Zheng, Yanchong & Yu, Hang & Shao, Ziyun & Jian, Linni, 2020. "Day-ahead bidding strategy for electric vehicle aggregator enabling multiple agent modes in uncertain electricity markets," Applied Energy, Elsevier, vol. 280(C).
    9. Nikmehr, Nima & Najafi-Ravadanegh, Sajad & Khodaei, Amin, 2017. "Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty," Applied Energy, Elsevier, vol. 198(C), pages 267-279.
    10. Zhang, Honghui & Chen, Yuanyuan & Liu, Kuili & Dehan, Sim, 2022. "A novel power system scheduling based on hydrogen-based micro energy hub," Energy, Elsevier, vol. 251(C).
    11. Pelletier, Samuel & Jabali, Ola & Laporte, Gilbert & Veneroni, Marco, 2017. "Battery degradation and behaviour for electric vehicles: Review and numerical analyses of several models," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 158-187.
    12. Wu, Xiong & Qi, Shixiong & Wang, Zhao & Duan, Chao & Wang, Xiuli & Li, Furong, 2019. "Optimal scheduling for microgrids with hydrogen fueling stations considering uncertainty using data-driven approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
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    Cited by:

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    3. Cai, Pengcheng & Mi, Yang & Ma, Siyuan & Li, Hongzhong & Li, Dongdong & Wang, Peng, 2023. "Hierarchical game for integrated energy system and electricity-hydrogen hybrid charging station under distributionally robust optimization," Energy, Elsevier, vol. 283(C).
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