基于时间逼近搜索算法的城轨列车运行节能优化研究

A Novel Time-Approaching Search Algorithm for Energy-Saving Optimization of Urban Rail Train

针对地铁列车准点节能运行,提出了基于时间逼近搜索的列车节能优化算法.首先建立城市轨道列车在满足定时运行条件下的节能控制模型,通过庞特利亚金最大值原理得到了列车节能最优控制工况集;其次,推导了列车在不同节能运行模式下的能耗差异;在此基础上,提出了一种将列车运行区间进行分段优化的方法,采用时间逼近搜索求解列车工况转换点的位置,最终达到定时节能运行的目的.以上海地铁3号线铁力路至友谊路线路为算例,与实测负荷过程对比,列车采用本文算法优化后可节能12.5%.

To ensure energy-saving and punctual operation of urban railway, a time-approaching search method was proposed. The energy-saving control model of urban railway that satisfies timing running was established . A set of optimal conditions for energy-saving control was derived according to the Pontryagin maximum principle. The energy consumption of a train under different energy-saving operations was calculated . On this basis, we presented an optimization method of dividing the train operation period into sections. The change point of train operation is determined using time- approaching search method to meet the requirements of energy-saving and timing. A section from Tieli Road to Youyi Road of Shanghai Metro Line 3 is taken as an example. Compared with measurement results in the practical loading process, the energy comsuption is reduced by 12.5% using time- approaching search algorithm.