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考虑储能装置的普速铁路列车节能运行图优化

冀璇 张玉召 高珅盈泽 崔朝晖

深圳大学学报(理工版)2026,Vol.43Issue(3):316-326,11.
深圳大学学报(理工版)2026,Vol.43Issue(3):316-326,11.DOI:10.3724/SP.J.1249.2026.03316

考虑储能装置的普速铁路列车节能运行图优化

Energy-efficient train timetable optimization for conventional railways considering energy storage systems

冀璇 1张玉召 2高珅盈泽 1崔朝晖3

作者信息

  • 1. 兰州交通大学交通运输学院,甘肃 兰州 730070
  • 2. 兰州交通大学交通运输学院,甘肃 兰州 730070||高原铁路运输智慧管控铁路行业重点实验室,甘肃 兰州 730070
  • 3. 中国国家铁路集团有限公司运输调度指挥中心,北京 100844
  • 折叠

摘要

Abstract

To address the low utilization of regenerative braking energy and significant energy waste in conventional railway systems,this study aims to improve energy utilization efficiency by developing an energy-efficient timetable optimization framework incorporating energy storage systems.The proposed approach enables coordinated utilization of regenerative braking energy through both immediate and delayed mechanisms.Based on operational characteristics of conventional railways,an optimization model is formulated with the objective of maximizing total regenerative braking energy utilization.The decision variables include train departure intervals at the origin station and dwell times,subject to multiple constraints such as safety headway requirements,dynamic overtaking rules,and energy storage capacity limits.A simulated annealing-based solution algorithm is developed and validated through a case study of the Lanzhou-Wuwei section of the Lanxin railway.A test scenario involving 15 stations and 43 passenger and freight trains during a certain daytime period shows that the total regenerative energy utilization reaches 4 134.38 kWh,corresponding to a utilization rate of 56.28%.Sensitivity analysis is conducted to examine the effects of departure intervals,dwell times,storage capacity,train frequency,and the proportion of regenerative braking-capable locomotives on energy-saving performance.Results indicate that under high-density operation of regenerative braking-capable locomotives(approximately 58%),coordinated optimization of timetable parameters and storage capacity can achieve a maximum energy-saving rate of 86.33%.An economic evaluation based on net present value(NPV)method shows consistently positive returns on energy storage investment over a 10-year horizon.These findings demonstrate that integrating energy storage systems into timetable optimization not only enhances energy utilization efficiency but also yields significant economic benefits.

关键词

铁路运输/节能运行图/储能装置/普速铁路/再生制动能/交通规划/模拟退火算法

Key words

railway transportation/energy-efficient train timetable/energy storage systems/conventional railway/regenerative braking energy/traffic scheduling/simulated annealing algorithm

分类

交通工程

引用本文复制引用

冀璇,张玉召,高珅盈泽,崔朝晖..考虑储能装置的普速铁路列车节能运行图优化[J].深圳大学学报(理工版),2026,43(3):316-326,11.

基金项目

National Natural Science Foundation of China(71761025) (71761025)

Science and Technology Research and Development Program of China State Railway Group Co.Ltd.(P2024X003) 国家自然科学基金资助项目(71761025) (P2024X003)

国家铁路集团有限公司科技研究开发计划资助项目(P2024X003) (P2024X003)

深圳大学学报(理工版)

1000-2618

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