铁道运输与经济2025，Vol.47Issue(5)：16-26,11.DOI:10.16668/j.cnki.issn.1003-1421.2025.05.02
道口群约束下铁路内燃机车牵引节能运行综合建模
Comprehensive Modeling for Energy-Saving Operation of Railway Diesel Locomotive Traction under Constraint of Crossing Group
摘要
Abstract
To address the problems of frequent train braking and increased energy consumption caused by speed restrictions at level crossings on regional railways,this study conducted an empirical analysis with the Dasong Railway in Hebei Province as the focus.Operational data at crossings were collected through field investigations,and a group quantization analysis of the crossings was performed with the K-means clustering algorithm.Then,an integrated energy-saving model framework was developed,encompassing three models of fundamental energy consumption,crossing optimization,and coasting optimization.The particle swarm optimization algorithm was employed to solve the models,with particular emphasis on comparative analysis of energy efficiency performance under 2,3,and 4 coasting-traction operation mode transition point strategies.Findings indicate that the operation plan with three operation mode transition points exhibits optimal comprehensive benefits.Compared to the conventional plan,it achieves a 13.22%reduction in energy consumption and a 2.38-ton decrease in CO2 emissions per million ton-kilometers while maintaining controllable running time.The research demonstrates that energy conservation and carbon reduction objectives for diesel locomotives under multiple constraints can be effectively achieved with the coordinated optimization of operation mode transition points and coasting control strategies.This research provides technical references for the operational optimization of similar railway systems.关键词
内燃机车/道口群/节能操纵/聚类分析/粒子群算法Key words
Diesel Locomotive/Crossing Group/Energy-Saving Operation/Clustering Analysis/Particle Swarm Optimization分类
交通运输引用本文复制引用
杨洋,杨晓彤,黄守刚,马彦利,刘曌烜..道口群约束下铁路内燃机车牵引节能运行综合建模[J].铁道运输与经济,2025,47(5):16-26,11.基金项目
中央高校基本科研业务费项目(2024JBRC009) （2024JBRC009）
河北省社会科学发展研究课题(20230203029) （20230203029）
河北省自然科学基金项目(E2021210142) （E2021210142）
北京市自然科学基金项目(J210001) （J210001）
国家自然科学基金项目(52302423) （52302423）
