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Optimal siting of substations of traction power supply systems considering seismic risk

Author

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  • Sun, Xiaojun
  • Feng, Ding
  • Zhang, Qiang
  • Lin, Sheng

Abstract

The traction power supply system (TPSS) is a critical infrastructure that provides electrified railways with power. However, its safe and reliable operation is threatened by earthquake disasters. Due to the strong randomness, uneven spatial distribution, and destructive risk of earthquake disasters, it is crucial to develop reasonable planning schemes to mitigate seismic risks of the system. This paper proposes a substation optimal siting method considering seismic risks. By establishing the chain circuit model of the TPSS and employing the dynamic power flow calculation method, the power loss of the system is obtained. By integrating the earthquake scenario simulation and substation fragility analysis, the substation seismic risk is calculated through Monte Carlo simulation. On this basis, the optimization model for substation site selection is formulated, aiming to minimize both the system power loss and the substation seismic risk while adhering to constraints of construction cost, operating safety, and geographical locations. The Pareto optimal solutions are then obtained. Simulation analysis based on actual system parameters shows that compared with traditional site selection methods, the proposed method can effectively mitigate system seismic risks while considering system power loss, providing theoretical bases for the disaster prevention and mitigation in the TPSS planning.

Suggested Citation

  • Sun, Xiaojun & Feng, Ding & Zhang, Qiang & Lin, Sheng, 2024. "Optimal siting of substations of traction power supply systems considering seismic risk," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007159
    DOI: 10.1016/j.ress.2023.109801
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Ghanbarizadeh, Mohsen & Simab, Mohsen & Niknam, Taher, 2026. "Resilience-oriented reconfiguration of active distribution systems against seismic hazards," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).
    2. Zhang, Pei & Zhang, Zhen-Ji & Gong, Da-Qing, 2025. "A full domain decision model for robust risk control based on minimum linkage space and copula Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    3. Che, Yulong & Wang, Xiaoru & Ge, Leijiao & Lin, Hongjian & Lyu, Xiaoqin & Su, Hongsheng & Wang, Hao, 2025. "A review of research on traction load models and modeling methods for electrified railways," Renewable and Sustainable Energy Reviews, Elsevier, vol. 219(C).
    4. Ahumada, Nicolás & Muñoz Gálvez, Juan Pablo & Poulos, Alan & Rojas, Félix & Carlos de la Llera, Juan, 2026. "Seismic fragility estimation of electrical substations accounting for component damage and short circuit faults," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).
    5. Fadel Miguel, Leandro F. & Beck, André T., 2024. "Optimal path shape of friction-based Track-Nonlinear Energy Sinks to minimize lifecycle costs of buildings subjected to ground accelerations," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    6. Wen, Jiayi & Li, Xiaoxuan & Xue, Jingwei, 2024. "Feasibility evaluation of Copula theory for substation equipment with multiple nonlinear-related seismic response indexes," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    7. 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).
    8. Liang, Huangbin & Xie, Qiang, 2025. "Probabilistic seismic risk analysis of electrical substations considering equipment-to-equipment seismic failure correlations," Reliability Engineering and System Safety, Elsevier, vol. 253(C).

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