Impedance Characteristics and Stability Enhancement of Sustainable Traction Power Supply System Integrated with Photovoltaic Power Generation

Peng Peng, Tongxu Zhang, Xiangyan Yang, Yaozhen Chen, Guotao Cao, Qiujiang Liu and Mingli Wu ()
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Peng Peng: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Tongxu Zhang: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Xiangyan Yang: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Yaozhen Chen: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Guotao Cao: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Qiujiang Liu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Mingli Wu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2025, vol. 17, issue 22, 1-20

Abstract: The integration of electric railways with renewable energy sources is crucial for advancing sustainable transportation and building clean, low-carbon, and efficient energy systems in alignment with global sustainable development goals. However, the application of photovoltaic (PV) integration into railway traction power supply systems may exacerbate resonance phenomena between electric locomotives and the traction network. It is therefore necessary to study the impedance frequency characteristics (IFCs) of traction networks to minimize harmonic resonance overvoltage. In this paper, a harmonic impedance model of the sustainable traction power supply system (STPSS) is established, and an impedance analysis method is adopted to reveal the influence law of grid-connected PV inverters on the IFCs of STPSSs. Additionally, to improve the stability of STPSSs, a multi-parameter co-tuning method based on an improved particle swarm optimization algorithm is proposed. This method constructs a multi-objective function that includes resonance frequency, impedance magnitude, and filtering cost, thereby realizing the automatic optimization of the control parameters and filtering parameters of PV inverters. The results demonstrate a 56% reduction in the maximum impedance magnitude within the 0–5 kHz frequency range and a 10.8% cost reduction in the LCL filter implementation, confirming the effectiveness of the proposed optimization model. Results show that the maximum impedance magnitude of the optimized system in the frequency range of 0–5 kHz can be reduced by 56%. Moreover, the cost of LCL filters can be reduced by 10.8% through component value optimization. These findings validate the effectiveness of the proposed method.

Keywords: impedance frequency characteristic; particle swarm optimization algorithm; photovoltaic power generation; stability enhancement; sustainable traction power supply system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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