铁道标准设计2024，Vol.68Issue(1)：25-31,7.DOI:10.13238/j.issn.1004-2954.202206300004
基于FAPSO的地铁列车节能运行优化研究
Research on Optimization of Energy Saving Operation of Subway Train Based on FAPSO
摘要
Abstract
The energy-saving and punctual operation of Subway train was taken as a research goal.Under the conditions of full consideration of the actual running route,a multi-point train running energy consumption model that satisfies the constraints is constructed,and on this basis,the firefly operator is introduced into the standard particle swarm algorithm to build a particle swarm optimization algorithm(FAPSO)containing the firefly operator,and then a two-layer structure integrated optimization control method based on FAPSO algorithm is proposed.The upper level optimization uses the FAPSO algorithm to allocate the total redundant time obtained,and then obtains the best running time between stations and optimize the train running timetable;On the basis of the optimal running time between stations obtained from the optimization of the upper level,the lower-level optimization compares the operation energy consumption of trains under different operation strategies,and then optimizes the train operation strategy of the whole line.Finally,the optimal driving strategy for energy-saving and punctual operation of trains between stations is obtained.Through the MATLAB simulation of the selected line,the simulation results show that the energy consumption of the train operation is reduced by 10.8%after the integrated optimization of the two-layer structure,and it meets the requirements of train running on time.关键词
地铁列车/FAPSO算法/双层结构一体化优化/冗余时间分配/运行策略Key words
subway train/FAPSO algorithm/integrated optimization of double-layer structure/redundant time allocation/operation strategy分类
交通工程引用本文复制引用
黄江平,郑帅沁..基于FAPSO的地铁列车节能运行优化研究[J].铁道标准设计,2024,68(1):25-31,7.基金项目
江西省教育厅科技项目(GJJ160490) （GJJ160490）
