摘要
针对城市轨道交通列车群再生能量利用较低的问题,对列车时刻表中的停站时间进行优化可以有效提高列车再生能量利用。停站时间不对列车的区间行驶产生直接影响,但会间接影响列车群功率曲线重叠状态,进而影响再生能量的利用情况。以在北京地铁八通线上运行的两列车简化车群为例,采用遗传算法对停站时间进行优化,利用MATLAB进行仿真验证,结果显示,停站时间优化有效提高车群再生能量利用。
In order to solve the problem of low utilization of regenerative energy in urban rail train group,optimizing the stopping time in train schedule can effectively improve the utilization of regenerative energy.The stopping time has no direct effect on the running of trains in the interval,but it will indirectly affect the overlapping state of train group power curves,and then affect the utilization of renewable energy.Taking the simplified group of two trains running on Beijing metro Batong line as an example,the stopping time was optimized by genetic algorithm and simulated by MATLAB.
作者
李晓明
李海龙
刘晓磊
赵洪涛
LI Xiao-ming;LI Hai-long;LIU Xiao-lei;ZHAO Hong-tao(CRRC Changchun Railway Vehicles Co.,Ltd.,Changchun 130062)
出处
《现代计算机》
2020年第18期23-27,共5页
Modern Computer
关键词
时刻表优化
再生能量
遗传算法
Schedule Optimization
Renewable Energy
Genetic Algorithm