地铁列车节能运行惰行控制研究

惰行可以有效降低地铁列车能耗,通过选择合适的惰行点可以实现列车的节能运行。建立了定时约束条件下列车节能运行惰行控制优化模型,将模型求解的遗传算法嵌入到城市列车运行计算系统中,实现了给定线路条件下站间最佳惰行点的自动计算。结合具体算例对不同站间距离、线路条件、区间限速、运行时间、惰行次数等条件下的惰行控制进行了仿真研究,给出了各影响因素与惰行控制的关系。仿真结果表明,该方法能较好地解决惰行控制优化问题,地铁列车合理的站间运行时间取值,一般在最小运行时间的基础上增加8%~15%比较合适。

Coast Control of Urban Train Movement for Energy Efficiency

Coasting is considered to be one of the most efficient energy saving measures for train movement in an inter-station run when safety and punctuality is guaranteed.Thus,choosing the best coasting strategy becomes crucial.In this paper,an optimization model for coast control of train movement to minimize energy consumption is developed,which builds on the Urban Train Movement Calculation System（UTMCS） with genetic algorithm as an improvement.This model can calculate the best coasting points automatically under given lines.The case studies investigated the relationship between coast control and the system parameters including inter-station distance,line conditions,speed limit,run time,and coast time.Simulation results show that the proposed model can be an effective tool for coast control optimization,and the optimal run time between stations is 8 to 15 percent longer than the minimal run time.