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

李欣; 卢景涛; 黄文勋

doi:10.13334/j.0258-8013.pcsee.232070

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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

可再生能源与储能 | 更新时间：2026-02-06

- 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
- 中国电机工程学报 2025年45卷第10期页码：3865-3876
- 作者机构：
  
  1. 兰州交通大学新能源与动力工程学院, 甘肃省兰州市 730070
  2. 北京交通大学电气工程学院, 北京市海淀区 100044
  3. 中铁第一勘察设计院集团有限公司, 陕西省西安市 710043
- 作者简介：
  
  [ "李欣(1978)，男，博士，教授，博士生导师，研究方向为电气化交通与能源融合技术，lxfp167@163.com" ]
  [ "卢景涛(1998)，男，博士研究生，研究方向为电气化交通与能源融合技术，lujingtao0722@163.com" ]
  [ "黄文勋(1980)，男，教授级高级工程师，主要从事电气化铁路牵引供电系统设计和研究工作，176967678@qq.com" ]
- 基金信息：
  
  国家自然科学基金项目(51767015);甘肃省自然科学基金重点项目(22JR5RA317);甘肃省高等学校产业支撑计划项目(2023CYZC-39)
- DOI：10.13334/j.0258-8013.pcsee.232070
  中图分类号： TM922
- 收稿：2023-09-25，
  
  网络首发：2024-04-26，
  
  纸质出版：2025-05-20
- 稿件说明：
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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.

Xin LI, Jingtao LU, Wenxun HUANG. 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.
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.

Xin LI, Jingtao LU, Wenxun HUANG. 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.

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.

关键词

Keywords

references

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