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作 者:杨星星[1]
出 处:《铁路计算机应用》2014年第10期8-12,共5页Railway Computer Application
基 金:安徽省高等学校省级自然科学研究项目(KJ2013B288);北京交通大学基本科研业务费(2014YJS022)
摘 要:再生能量在城市轨道交通系统中同一供电区间内相邻列车之间的可传递性已经在实践中被证实,为了提高再生能量利用率,针对城市轨道交通列车"行车密度高、站间距离短、日周期性强"的特点,本文提出了一种时刻表的优化方法。首先,分析再生能量在相邻列车间的传递过程,构建时刻表优化模型,通过调整列车在车站的停站时间使得制动列车产生的再生能量能够更多的供给牵引列车使用,从而提高再生能量的利用率。其次,设计遗传算法求解时刻表优化模型,得到优化的时刻表。最后,基于北京地铁亦庄线的线路数据做算例分析,结果表明该方法使得再生能量的利用量提高了48%。In Urban Transit,the transitivity regenerative energy between successive trains located in the same electricity supply interval was proved in practice.For improving the utilization of regenerative energy,this paper proposed a timetable optimization method,which took consideration of the features of subway trains such as high density,short distance and strong periodicity.Firstly,the paper analyzed the regenerative energy transmission process between successive trains and formulated the timetable optimization model.There would be more regenerative energy from braking trains by adjusting trains station dwell time,so that the utilization of regenerative energy could be improved.Secondly,the paper designed timetable optimization model with Genetic Algorithm,got the optimal timetable.Finally,the example analysis was made based on the operation data from Beijing Yizhuang Subway Line.The results illustrated that the proposed approach could improve the utilization of regenerative energy about 48% in comparison with the current timetable.
分 类 号:U231.92[交通运输工程—道路与铁道工程] TP39[自动化与计算机技术—计算机应用技术]
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