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基于遗传优化算法的城市轨道交通多列车运行节能计算方法
Calculation of Energy Saving in Multi-vehicle Operation Based on Genetic Optimization Algorithm
【摘要】 针对地铁列车多列车节能问题,提出一种基于遗传优化算法的多列车运行节能计算方法。分析多列车运行过程中制动能量传递使用过程;建立以能耗最少、旅行时间准点为目标,以全天列车运行对数、高/低峰行车对数为约束的多列车运行节能模型;采用遗传算法获得各站最优的停站时间和发车间隔序列,并计算出全线能耗、列车能耗和线路损耗。同时,以我国某地铁线路4个区间组成的短线进行多列车节能仿真,优化得到各站的停站时间和发车间隔时间。
【Abstract】 Aiming at the energy saving problems of multi-vehicle metro train,a calculation method of multi-vehicle operation energy saving is presented based on genetic algorithm.Firstly,the process of braking energy transfer in multi-train operation is analyzed; secondly,the least energy consumption and travel time are taken as the target,with numbers of the allday train and the high/low peak traffic as the constraint,a multi-vehicle energy saving model is established; thirdly,the genetic algorithm is used to obtain the optimal stopping time and starting interval,the total energy consumption,train energy consumption and line loss are calculated. Finally,the multivehicle energy saving is simulated by using the short line consisting of four sections on a Line in Beijing,the stopping time and the starting interval at each station are optimized.
【Key words】 urban rail transit; regenerative braking energy; multi-vehicle energy-saving; genetic algorithm;
- 【文献出处】 城市轨道交通研究 ,Urban Mass Transit , 编辑部邮箱 ,2018年12期
- 【分类号】U292
- 【被引频次】9
- 【下载频次】375