IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v335y2025ics0360544225038733.html

Robust energy management of electrified railway traction substation providing secondary frequency regulation

Author

Listed:
  • Chen, Yin
  • Chen, Yinyu
  • Zhou, Yue
  • Gan, Wei
  • Chen, Minwu
  • Chen, Xia

Abstract

Electrified railways provide innovative insights for providing the secondary frequency regulation (SFR) service to improve grid stability in the net-zero power system. As the role of energy nexus that connects with low-inertia grids and high-power trains, the flexible traction substation (F-TSS) of electrified railway, integrated with power flow controller (PFC) and energy storage (ES) and photovoltaic (PV), with great potential to achieve SFR. However, the current literature lacks a suitable energy management model to portray the capability of SFR services for railways. Meanwhile, the strong uncertainties of PV and traction load pose significant challenges to the safety and economic operation. In this paper, a robust optimization method considering energy-SFR co-dispatch for F-TSS is proposed. Firstly, an F-TSS energy management model is developed to minimize the costs associated with electrical consumption and ES aging, and maximize the profits from SFR response. Secondly, a two-stage robust optimization approach is utilized to crack the uncertainty of traction load and PV output, the PFC control commands and ES charging/discharging strategies are determined in first-stage. In second-stage, the worst-case scenarios are quantified and incorporating feedback into the initial phase for adjustment. Finally, case studies verify the effectiveness of the proposed energy dispatch approach can reduce the overall cost by up to 34 %, as well as provides the SFR response.

Suggested Citation

  • Chen, Yin & Chen, Yinyu & Zhou, Yue & Gan, Wei & Chen, Minwu & Chen, Xia, 2025. "Robust energy management of electrified railway traction substation providing secondary frequency regulation," Energy, Elsevier, vol. 335(C).
  • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225038733
    DOI: 10.1016/j.energy.2025.138231
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225038733
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.138231?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. Maluenda, Martín & Córdova, Samuel & Lorca, Álvaro & Negrete-Pincetic, Matías, 2023. "Optimal operation scheduling of a PV-BESS-Electrolyzer system for hydrogen production and frequency regulation," Applied Energy, Elsevier, vol. 344(C).
    2. Liang, Hejun & Pirouzi, Sasan, 2024. "Energy management system based on economic Flexi-reliable operation for the smart distribution network including integrated energy system of hydrogen storage and renewable sources," Energy, Elsevier, vol. 293(C).
    3. Zhao, Shihao & Li, Kang & Yu, James & Xing, Chen, 2024. "Scheduling of futuristic railway microgrids—A FRA-pruned twins-actor DDPG approach," Energy, Elsevier, vol. 313(C).
    4. Hussain, Akhtar & Kazemi, Nazli & Musilek, Petr, 2025. "Clustering-based EV suitability analysis for grid support services," Energy, Elsevier, vol. 320(C).
    5. Feng, Jie & Ran, Lun & Wang, Zhiyuan & Zhang, Mengling, 2024. "Optimal energy scheduling of virtual power plant integrating electric vehicles and energy storage systems under uncertainty," Energy, Elsevier, vol. 309(C).
    6. Wang, Huilong & Wang, Shengwei, 2021. "A hierarchical optimal control strategy for continuous demand response of building HVAC systems to provide frequency regulation service to smart power grids," Energy, Elsevier, vol. 230(C).
    7. Bao, Peng & Xu, Qingshan & Yang, Yongbiao, 2024. "Modeling and aggregated control of large-scale 5G base stations and backup energy storage systems towards secondary frequency support," Applied Energy, Elsevier, vol. 357(C).
    8. Li, Fei & Wang, Dong & Guo, Hengdao & Liu, Zhan & Zhang, Jianhua & Lin, Zhifang, 2025. "Two-stage Distributionally robust optimization for hydrogen-IES participation in energy-carbon trading-frequency regulation ancillary services market," Energy, Elsevier, vol. 328(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. Huang, Yuxi & Wu, Dongge & Chang, Xinyue & Xue, Yixun & Tian, Xingtao & Li, Zening & Su, Jia & Sun, Hongbin, 2025. "Carbon-aware IES energy management based on green hydrogen blended CHP and seasonal monitoring of carbon trading strategy," Energy, Elsevier, vol. 335(C).
    2. Huang, Yanni & Li, Tianran & Yao, Yunting & Ma, Gang & Li, Xingshuo & Yu, Xiuyong & Xu, Wenjun & Wang, Jinran, 2025. "IGDT-based two-layer optimization of trading strategies in multi-energy markets," Energy, Elsevier, vol. 333(C).
    3. Chuan Long & Xinting Yang & Yunche Su & Fang Liu & Ruiguang Ma & Tiannan Ma & Yangjin Wu & Xiaodong Shen, 2025. "Air Conditioning Load Forecasting for Geographical Grids Using Deep Reinforcement Learning and Density-Based Spatial Clustering of Applications with Noise and Graph Attention Networks," Energies, MDPI, vol. 18(11), pages 1-19, May.
    4. Engstam, Linus & Janke, Leandro & Sundberg, Cecilia & Nordberg, Åke, 2025. "Optimising power-to-gas integration with wastewater treatment and biogas: A techno-economic assessment of CO2 and by-product utilisation," Applied Energy, Elsevier, vol. 377(PB).
    5. Shi, Yunhong & Li, Chengjiang & Wang, Honglei & Wang, Xiaolin & Negnevitsky, Michael, 2025. "A novel scheduling strategy of a hybrid wind-solar-hydro system for smoothing energy and power fluctuations," Energy, Elsevier, vol. 320(C).
    6. Su, Zhaoxu & Tian, Mingxing & Huang, Qiang & Liu, Yuantao & Liu, Jiajia & Liu, Guoqing & Qiang, Fabin, 2026. "Bi-level multi-objective capacity configuration of the wind-pv-storage traction power supply system considering supply-demand reliability," Energy, Elsevier, vol. 342(C).
    7. Dhafer M. Dahis & Seyed Saeedallah Mortazavi & Mahmood Joorabian & Alireza Saffarian, 2025. "Bi-Level Resilience-Oriented Sitting and Sizing of Energy Hubs in Electrical, Thermal and Gas Networks Considering Energy Management System," Energies, MDPI, vol. 18(10), pages 1-26, May.
    8. Li, Fei & Wang, Dong & Guo, Hengdao & Liu, Zhan & Zhang, Jianhua & Lin, Zhifang, 2025. "Two-stage Distributionally robust optimization for hydrogen-IES participation in energy-carbon trading-frequency regulation ancillary services market," Energy, Elsevier, vol. 328(C).
    9. Lin, Wen-Ting & Guo, Qitao & Jia, Tao & Li, Chaojie & Zhou, Xiaojun & Li, Jueyou & Ming, Tingzhen, 2026. "Hydrogen–energy–carbon coupled pricing for integrated energy systems: Stackelberg game and robust demand response under renewable uncertainty," Renewable Energy, Elsevier, vol. 260(C).
    10. Liu, Xiangfei & Ren, Mifeng & Yang, Zhile & Yan, Gaowei & Guo, Yuanjun & Cheng, Lan & Wu, Chengke, 2022. "A multi-step predictive deep reinforcement learning algorithm for HVAC control systems in smart buildings," Energy, Elsevier, vol. 259(C).
    11. Tan, Mao & Jiang, Hongwei & Kuang, Yi & Li, Kang & Wang, Rui & Li, Zibin, 2025. "Electricity–carbon dual response for energy-intensive enterprise: A co-optimization approach," Renewable Energy, Elsevier, vol. 251(C).
    12. Hao, Junhong & Feng, Xiaolong & Chen, Xiangru & Jin, Xilin & Wang, Xingce & Hao, Tong & Hong, Feng & Du, Xiaoze, 2024. "Optimal scheduling of active distribution network considering symmetric heat and power source-load spatial-temporal characteristics," Applied Energy, Elsevier, vol. 373(C).
    13. Zdraveski, Vasko & Todorovski, Mirko, 2024. "A robust optimization model for Optimal Feeder Routing and Battery Storage Systems design," Applied Energy, Elsevier, vol. 374(C).
    14. Lai, Chunyang & Kazemtabrizi, Behzad, 2025. "A novel two-stage framework to improve the flexibility of grid connected wind-hydro power system in real-time operation," Applied Energy, Elsevier, vol. 396(C).
    15. Liu, Yuanchao & Zheng, Ruifan & Shen, Rendong & Zhao, Jun & Shi, Zekun & Wang, Guangliang & Yang, Dongfang & Li, Yang, 2025. "Research on capacity configuration optimization of integrated energy system by integrating energy hub and response surface methodology," Energy, Elsevier, vol. 330(C).
    16. Khosravi, Nima, 2025. "Enhancing operational efficiency through a control-based approach for hydrogen and battery energy storage systems integration in renewable energy networks," Renewable Energy, Elsevier, vol. 248(C).
    17. Taslimi, Melika & Khosravi, Ali, 2025. "Flexibility and profitability in power-to-methanol plants: Integrating storage solutions and reserve market participation," Energy, Elsevier, vol. 327(C).
    18. Koumparakis, Christos & Kountouris, Ioannis & Bramstoft, Rasmus, 2025. "Utilization of excess heat in future Power-to-X energy hubs through sector-coupling," Applied Energy, Elsevier, vol. 377(PA).
    19. Liao, Hong & Chen, Yunzhu & Zheng, Zixuan & Xiao, Xianyong & Zhang, Shu, 2025. "A two-stage business model for voltage sag sensitive industrial users employing energy storage systems," Applied Energy, Elsevier, vol. 379(C).
    20. Rehman, Obaid Ur & Khan, Shahid A. & Javaid, Nadeem, 2021. "Decoupled building-to-transmission-network for frequency support in PV systems dominated grid," Renewable Energy, Elsevier, vol. 178(C), pages 930-945.

    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:335:y:2025:i:c:s0360544225038733. 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.