李欣, 卢景涛, 黄文勋. 绿电牵引场景下高速铁路长大坡道混合储能系统容量优化配置[J]. 中国电机工程学报, 2025, 45(10): 3865-3876. DOI: 10.13334/j.0258-8013.pcsee.232070
引用本文: 李欣, 卢景涛, 黄文勋. 绿电牵引场景下高速铁路长大坡道混合储能系统容量优化配置[J]. 中国电机工程学报, 2025, 45(10): 3865-3876. DOI: 10.13334/j.0258-8013.pcsee.232070
LI Xin, LU Jingtao, HUANG Wenxun. Capacity Optimization Configuration of Hybrid Energy Storage System for Long Steep Slope of High-speed Railway Under Green Electric Traction Scenarios[J]. Proceedings of the CSEE, 2025, 45(10): 3865-3876. DOI: 10.13334/j.0258-8013.pcsee.232070
Citation: LI Xin, LU Jingtao, HUANG Wenxun. Capacity Optimization Configuration of Hybrid Energy Storage System for Long Steep Slope of High-speed Railway Under Green Electric Traction Scenarios[J]. Proceedings of the CSEE, 2025, 45(10): 3865-3876. DOI: 10.13334/j.0258-8013.pcsee.232070

绿电牵引场景下高速铁路长大坡道混合储能系统容量优化配置

Capacity Optimization Configuration of Hybrid Energy Storage System for Long Steep Slope of High-speed Railway Under Green Electric Traction Scenarios

  • 摘要: 随着高速铁路的快速发展,其节能减碳问题倍受关注。将绿色电能用于牵引供电是有效的节能降耗手段,若将高速铁路的大量再生制动能量合理利用,由废电转为绿电,亦可推进牵引供电用能的清洁能源化。针对光伏接入牵引供电系统条件下高速铁路长大坡道地面式再生制动能量混合储能系统容量优化配置问题,在分析高速铁路长大坡道绿电资源获取方式、光伏出力和制动能量特性的基础上,考虑绿电牵引场景下长大坡道混合储能系统不同时间维度下功率特性及各运行工况能量特性,给出基于储能需求密度的混合储能系统再生制动与光伏闲时能量并行回收的分段配置方案;针对不同储能介质的特性分别建立优化模型,利用基于Levy飞行的改进模拟退火算法(simulated annealing algorithm based on Levy flight,LESA)进行优化求解;最后,选取西成高铁某牵引变电所实测数据进行算例分析。结果表明,所提优化配置策略能够在同时考虑光伏出力与再生制动能量线内外绿电的情况下,实现对高铁长大坡道混合储能系统容量的优化配置,有效提高牵引供电系统绿电占比,缩短储能系统成本回收年限,可为高速铁路储能系统工程化应用提供参考,促进轨道交通牵引用能绿色低碳化发展。

     

    Abstract: With the rapid development of high-speed railway, the problem of energy saving and carbon reduction has attracted much attention. Using green energy for traction power supply is an effective way to save energy and reduce consumption. If a large amount of regenerative braking energy of high-speed railway is reasonably reused, waste energy can be turned into green energy, and the energy consumption of traction power supply system can be promoted to be clean. This study focuses on capacity optimization of hybrid energy storage systems for recovering regenerative braking energy in high-speed railways with long steep slopes, where photovoltaic (PV) systems are integrated into the traction power supply. Based on comprehensive analysis of green power resource acquisition patterns, PV generation characteristics, and braking energy features, while considering the power characteristics across different time dimensions and energy profiles under various operating conditions in green traction scenarios, we propose a segmented configuration scheme for the hybrid energy storage system. The proposed approach utilizes energy storage demand density to efficiently recycle both regenerative braking energy and photovoltaic power. According to the characteristics of different energy storage media, their respective optimization models are established, and the improved simulated annealing algorithm based on Levy flight (LESA) is used for optimization. Finally, the measured data of a traction substation of Xi'an-Chengdu high-speed railway are selected for example analysis. The example results show that the proposed optimal configuration strategy, taking into account the photovoltaic energy and regenerative braking energy, completes the optimal configuration of the capacity of the high-speed rail long steep slope hybrid energy storage system, effectively improves the proportion of green energy in the traction power supply system, and shortens the cost recovery period of the energy storage system, which can provide reference for the engineering application of high-speed rail energy storage system, and promote the green and low-carbon development of rail transit traction energy.

     

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