自动化学报2025，Vol.51Issue(7)：1562-1584,23.DOI:10.16383/j.aas.c240658
考虑牵引链温度场的货运列车动态建模及优化算法研究
Research on Dynamic Modeling and Optimization Algorithm of Freight Trains Considering the Temperature Field of Traction Chains
摘要
Abstract
Freight trains exhibit time-varying behavior during operation,making it difficult for static mechanistic models to capture these variations,which results in optimization results that do not align with train operating con-ditions.Moreover,improper driving strategies may lead to excessive temperatures in electrical equipment.To ad-dress this issue,this paper proposes a dynamic modeling approach for evaluating train energy consumption and temperature and designs a large-scale adaptive multi-strategy multi-objective competitive swarm optimizer(LA-MOCSO).Specifically,first,a"train-track-power grid"mechanistic model is established to calculate power and voltage during multi-train operations;A hybrid modeling approach that integrates mechanistic models,data-driven models and compensation models is proposed to capture the time-varying characteristics of trains and their environ-ment.Next,a thermal rise model for electrical equipment is developed,and a rapid solution method based on the Laplace transformation is designed.Then,a multi-objective optimization model is formulated to optimize both the energy efficiency of the traction power supply system and the temperature of electrical equipment;The LA-MOC-SO algorithm is proposed to address the large-scale multi-objective optimization problem in multi-train long-dis-tance operations.Finally,experiments validate the effectiveness of the dynamic modeling approach;The perform-ance of the proposed algorithm is verified through comparisons with four classical algorithms;The results demon-strate that the multi-train comprehensive optimization method can reduce substation energy consumption by 18.2％,while ensuring that electrical equipment operates within an appropriate temperature environment.关键词
动态建模/列车节能/大规模综合优化/数据驱动/列车-线路-电网-温度场Key words
Dynamic modeling/train energy-saving/large-scale comprehensive optimization/data-driven/train-track-power grid-temperature field引用本文复制引用
陶新坤,冯晓云,郭佑星,王青元,孙鹏飞..考虑牵引链温度场的货运列车动态建模及优化算法研究[J].自动化学报,2025,51(7):1562-1584,23.基金项目
国家自然科学基金(U2368216,U21A20169)资助Supported by National Natural Science Foundation of China(U2368216,U21A20169) （U2368216,U21A20169）
