IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v339y2025ics0360544225045797.html

Unlocking the potential of hydrogen refueling stations and phase shifters for power system resilience: a decentralised methodology

Author

Listed:
  • Ma, Su
  • Liu, Lu
  • Cheng, Haozhong
  • Zhang, Xiaohu
  • Xu, Ling
  • Lou, Wei

Abstract

High-impact natural disasters like flood, hurricane, windstorm and earthquake can interrupt the service of multiple power system components, leaving a large number of consumers without electricity. Power systems must be resilient, ensuring they can meet a substantial share of electricity demand even under extreme events. The increasing pace of climate change has intensified the frequency and severity of extreme events, highlighting the need for greater research efforts on power system resilience. In this research, the potential of hydrogen refueling stations (HRSs) as well as phase shifters are unlocked to enhance the resilience of power systems. The operators of HRSs receive flexibility request signals from power system operator and decide how to schedule themselves to increase their profit. The operator of power system exploits the flexibility of HRSs to increase its resilience. Power system operator also uses the potential of its phase shifters to increase its resilience. A decentralised methodology based on alternating direction method of multipliers (ADMM) is used in which the objectives of power system operator and HRS operators are considered. The uncertainties in the failed transmission lines, hurricane time and repair time of transmission lines are taken into account. Simulations are done in MATLAB. The findings in an IEEE 24-bus power system show that HRSs and phase shifters considerably reduce ELNS. During extreme events, HRSs inject electricity into power grid; the power flow control capability of phase shifters reduces transmission system congestion during hurricanes and improves system resilience. The results show that responsive demands significantly decrease ELNS. The effect of the location, size and total number of phase shifters on power system resilience has also been investigated. As per the results, the location of phase shifters significantly impacts power system resilience. The findings show that altering the phase shifter location may change ELNS by 54 %.

Suggested Citation

  • Ma, Su & Liu, Lu & Cheng, Haozhong & Zhang, Xiaohu & Xu, Ling & Lou, Wei, 2025. "Unlocking the potential of hydrogen refueling stations and phase shifters for power system resilience: a decentralised methodology," Energy, Elsevier, vol. 339(C).
  • Handle: RePEc:eee:energy:v:339:y:2025:i:c:s0360544225045797
    DOI: 10.1016/j.energy.2025.138937
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225045797
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.138937?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. Cui, Kunpeng & Wang, Chenyu & Liu, Zhenfei & Fu, Deran & Chen, Guo & Li, Wen & Nie, Lei & Shen, Yijun & Xu, Yonghong & Kuang, Rao, 2025. "Efficiency analysis of ocean compressed air energy storage system under constant volume air storage conditions," Energy, Elsevier, vol. 329(C).
    2. Wang, Hongping & Fang, Yi-Ping & Zio, Enrico, 2022. "Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    3. Song, Jianzhao & Wang, Na & Zhang, Zhong & Wu, Hao & Ding, Yi & Pan, Qingze & Pan, Xingzuo & Shui, Siyuan & Chen, Haipeng, 2025. "Fuzzy optimal scheduling of hydrogen-integrated energy systems with uncertainties of renewable generation considering hydrogen equipment under multiple conditions," Applied Energy, Elsevier, vol. 393(C).
    4. Rezaee Jordehi, Ahmad & Mansouri, Seyed Amir & Tostado-Véliz, Marcos & Sirjani, Reza & Safaraliev, Murodbek & Nasir, Mohammad, 2024. "A three-level model for integration of hydrogen refuelling stations in interconnected power-gas networks considering vehicle-to-infrastructure (V2I) technology," Energy, Elsevier, vol. 308(C).
    5. Zhang, Pan & Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Tostado-Véliz, Marcos & Alharthi, Yahya Z. & Safaraliev, Murodbek, 2024. "An ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumers," Applied Energy, Elsevier, vol. 363(C).
    6. Jordehi, A. Rezaee & Javadi, Mohammad Sadegh & Catalão, João P.S., 2021. "Day-ahead scheduling of energy hubs with parking lots for electric vehicles considering uncertainties," Energy, Elsevier, vol. 229(C).
    7. Mansouri, Seyed Amir & Nematbakhsh, Emad & Ahmarinejad, Amir & Jordehi, Ahmad Rezaee & Javadi, Mohammad Sadegh & Marzband, Mousa, 2022. "A hierarchical scheduling framework for resilience enhancement of decentralized renewable-based microgrids considering proactive actions and mobile units," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    8. He, Liange & Mo, Haijun & Zhang, Yan & Wu, Limin & Tang, Jinwang, 2025. "Adaptive energy management strategy for Extended Range Electric Vehicles under complex road conditions based on RF-IGWO and MGO algorithms," Energy, Elsevier, vol. 328(C).
    9. Wang, Y.X. & Chen, J.J. & Zhao, Y.L. & Xu, B.Y., 2024. "Incorporate robust optimization and demand defense for optimal planning of shared rental energy storage in multi-user industrial park," Energy, Elsevier, vol. 301(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. Zhou, Liangsong & Wei, Xiaolong & Suvorov, Anton & Safaraliev, Murodbek, 2024. "Operation of coupled power-gas networks with hydrogen refueling stations, responsive demands and storage systems: A novel stochastic framework," Energy, Elsevier, vol. 309(C).
    2. Wu, Yongfei & Gu, Weiyu & Huang, Shoujun & Wei, Xiaolong & Safaraliev, Murodbek, 2025. "A four-layer business model for integration of electric vehicle charging stations and hydrogen fuelling stations into modern power systems," Applied Energy, Elsevier, vol. 377(PC).
    3. Abdul, Daud & Wenqi, Jiang & Tanveer, Arsalan & Sharaf, Iman Mohamad, 2025. "Analyzing the sustainability factors to prioritize sustainable energy source: A novel integrated MCDM model," Energy, Elsevier, vol. 337(C).
    4. Han, Gao & Pan, Haiyang & Liu, Yanming & Li, Qian & Wang, Ping, 2025. "A methodology for integrating hydrogen refueling stations in multi-microgrids and coordination of distribution systems and transmission system," Energy, Elsevier, vol. 322(C).
    5. Saberi-Beglar, Kasra & Zare, Kazem & Seyedi, Heresh & Marzband, Mousa & Nojavan, Sayyad, 2023. "Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads," Applied Energy, Elsevier, vol. 329(C).
    6. Mohammad Aldossary, 2025. "Q-MobiGraphNet: Quantum-Inspired Multimodal IoT and UAV Data Fusion for Coastal Vulnerability and Solar Farm Resilience," Mathematics, MDPI, vol. 13(18), pages 1-30, September.
    7. Chen, Jie & Gu, Weiyu & Alharthi, Yahya Z. & Huang, Shoujun & Mansouri, Seyed Amir, 2025. "A decentralized framework for self-healing in hydrogen-integrated energy systems," Energy, Elsevier, vol. 331(C).
    8. Li, Linyue & Li, Chenxiao & Alharthi, Yahya Z. & Wang, Yubin & Safaraliev, Murodbek, 2025. "A two-layer economic resilience model for distribution network restoration after natural disasters," Applied Energy, Elsevier, vol. 377(PC).
    9. Kandpal, Bakul & Pareek, Parikshit & Verma, Ashu, 2022. "A robust day-ahead scheduling strategy for EV charging stations in unbalanced distribution grid," Energy, Elsevier, vol. 249(C).
    10. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & Small, Michael & Li, Man, 2023. "Improving resilience of high-speed train by optimizing repair strategies," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    11. Habib, Salman & El-Ferik, Sami & Gulzar, Muhammad Majid & Chauhdary, Sohaib Tahir & Ahmad, Hasnain & Ahmed, Emad M., 2025. "Optimizing integrated energy systems with a robust MISOCP model and C&CG algorithm for enhanced grid efficiency and profitability," Energy, Elsevier, vol. 318(C).
    12. Tang, Daogui & Fang, Yi-Ping & Zio, Enrico, 2023. "Vulnerability analysis of demand-response with renewable energy integration in smart grids to cyber attacks and online detection methods," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    13. Li, Chunhong & Jia, Bin & Wang, Weiping & Gao, Jianxi & Solé-Ribalta, Albert & Borge-Holthoefer, Javier, 2026. "From flood-prone to flood-ready: The restoration-adaptation interplay in building resilient multimodal transport networks," Reliability Engineering and System Safety, Elsevier, vol. 266(PB).
    14. Luo, Lizi & He, Pinquan & Gu, Wei & Sheng, Wanxing & Liu, Keyan & Bai, Muke, 2022. "Temporal-spatial scheduling of electric vehicles in AC/DC distribution networks," Energy, Elsevier, vol. 255(C).
    15. Sun, Xiaojun & Lin, Sheng & Feng, Ding & Zhang, Qiang, 2024. "Post-disaster repair optimization method for traction power supply system of electrified railways based on train operation loss," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    16. Xingyuan Chen & Yong Deng, 2022. "An Evidential Software Risk Evaluation Model," Mathematics, MDPI, vol. 10(13), pages 1-19, July.
    17. Chang, Lei & Basem, Ali & Althbiti, Ashrf & Alhumaid, Saleh & Ali Bu Sinnah, Zainab & Abdullaev, Sherzod & Alkhalaf, Salem & Bayhan, Zahra & Elhosiny Ali, H. & Mahariq, Ibrahim, 2025. "Artificial intelligence-driven multi-facet study/optimization of a methane fueled low-carbon CCP-desalination system using oxyfuel combustion and Goswami cycle," Energy, Elsevier, vol. 337(C).
    18. Wang, Huan & Liu, Benxi & Cheng, Chuntian & Wu, Huijun & Zhao, Hongye & Liao, Shengli, 2026. "Short-term joint scheduling model of hydro-wind-PV-storage dominated by hydropower considering the cascade output matching and decomposition strategies," Renewable Energy, Elsevier, vol. 257(C).
    19. Wang, Yuzhi & Mu, Qingguang & Bai, Zhiqing & Elmasry, Yasser & Abed Balla, Hyder H. & Alkhayyat, Ahmad & Bayhan, Zahra & Daghistani, Firas & Mahariq, Ibrahim, 2025. "Life cycle assessment, techno-economic and environmental analysis of an innovative integration air power cycle with LNG cold energy utilization in a biomass-fueled multi-generation plant: Soft computing technique and multi-objective optimization appr," Energy, Elsevier, vol. 340(C).
    20. Li, Siran & Xiao, Fuyuan, 2023. "Normal distribution based on maximum Deng entropy," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).

    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:energy:v:339:y:2025:i:c:s0360544225045797. 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.journals.elsevier.com/energy .

    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.