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Volume 60 Issue 3
Jun.  2025
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Journal of Southwest Jiaotong University  > 2025  >  60(3): 550-560.
GUO Wenkai, WANG Guo, MIN Yongzhi. Hybrid Energy Storage Capacity Configuration for Traction Power Supply Systems Considering Ladder-Type Carbon Trading Mechanism[J]. Journal of Southwest Jiaotong University, 2025, 60(3): 550-560. doi: 10.3969/j.issn.0258-2724.20230693
Citation: GUO Wenkai, WANG Guo, MIN Yongzhi. Hybrid Energy Storage Capacity Configuration for Traction Power Supply Systems Considering Ladder-Type Carbon Trading Mechanism[J]. Journal of Southwest Jiaotong University, 2025, 60(3): 550-560. doi: 10.3969/j.issn.0258-2724.20230693
shu

Hybrid Energy Storage Capacity Configuration for Traction Power Supply Systems Considering Ladder-Type Carbon Trading Mechanism

doi: 10.3969/j.issn.0258-2724.20230693
  • 1.

    School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

  • 2.

    Rail Transit Electrical Automation Engineering Laboratory of Gansu Province, Lanzhou Jiaotong University, Lanzhou 730070, China

  • Received Date: 22 Dec 2023
  • Rev Recd Date: 14 Jul 2024
    • Available Online: 17 Apr 2025
  • Publish Date: 21 Jul 2024
    Abstract

  • To promote the low-carbon transformation of the railway industry in the context of “carbon peaking and carbon neutrality” , a hybrid energy storage capacity configuration method was proposed, with an optimization objective of minimizing the total cost of the traction power supply system. Firstly, by considering factors such as multi-source complementarity and efficient consumption of new energy, a comprehensive energy system framework integrating new energy generation systems, electric–hydrogen hybrid energy storage systems, and traction power supply systems was constructed, and trading schemes for the carbon trading market were provided. Secondly, a planning–operation model was developed. The electric–hydrogen hybrid energy storage configuration scheme was determined at the planning level, and a ladder-type carbon trading mechanism was introduced at the operation level to calculate the daily operating cost of the traction power supply system. Finally, the improved seagull optimization algorithm was utilized to solve the model, and the actual data of the traction power supply system and new energy were combined to verify the effectiveness of the proposed model. The results show that compared with that of scenarios considering only ladder-type carbon trading schemes or electric–hydrogen hybrid energy storage schemes, the total system cost of the proposed method is reduced by 48% and 36%, respectively, while the renewable energy curtailment rate decreases by 11% and 3%, respectively. Compared with that of scenarios considering only ladder-type carbon trading combined with single energy storage media (battery or hydrogen energy storage), the total system cost is reduced by 19% and 40%, respectively, while the new energy consumption rate is improved by 4% and 6%, respectively.

     

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