机电工程技术2025，Vol.54Issue(17)：26-29,74,5.DOI:10.3969/j.issn.1009-9492.2025.17.005
基于遗传算法的城轨列车最优时间分配优化控制策略
Optimal Time Allocation and Control Strategy for Urban Rail Trains Based on Genetic Algorithm
摘要
Abstract
In order to reduce the energy consumption of urban rail trains,the operation control of urban rail trains is optimized based on the optimal time allocation control strategy.An energy consumption model for urban rail trains is established by analyzing the traction and braking characteristics.Starting from the minimum running time of each section,the running time of each section is increased in time steps,and the energy consumption of each section at different running times is calculated and analyzed.The energy consumption reduction rate of each section is compared,and the running time of each section is readjusted and optimized while keeping the overall running time of the line unchanged.On the premise of meeting the minimum interval running time,the running time of intervals with low average energy consumption reduction rate is reduced,and the running time of intervals with high average energy consumption reduction rate is increased.And the energy consumption of train operation is minimized by adopting adaptive genetic algorithm.Based on the line data of a certain subway as an example,a comparative analysis of energy consumption before and after optimization is conducted,and the results verifies that the optimal time allocation control strategy based on genetic algorithm can effectively reduce the traction energy consumption of urban rail trains.关键词
城轨列车/惰行节能/最优时间分配/自适应遗传算法Key words
urban rail trains/energy-saving coasting/optimal time allocation/adaptive genetic algorithm分类
交通工程引用本文复制引用
李华柏,苏江南,李剑锋..基于遗传算法的城轨列车最优时间分配优化控制策略[J].机电工程技术,2025,54(17):26-29,74,5.基金项目
湖南省自然科学基金资助项目(2022JJ60072):基于再生能量利用与运行控制一体化城轨列车节能策略优化研究 （2022JJ60072）
