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快慢车运营组织模式下的城市轨道交通列车节能运行优化研究

Energy-efficient Operation Optimization for Express/Local Trains in a Metro System

【作者】 陈磊

【导师】 陈绍宽;

【作者基本信息】 北京交通大学 , 交通运输规划与管理, 2020, 硕士

【摘要】 伴随我国经济社会发展,大城市人口数量和密度日渐增加,城市居民的日常出行需求与有限的城市交通资源之间的矛盾不断加剧。城市轨道交通作为高效便捷、准时可靠、安全独立的公共交通方式,已成为特大、超大城市居民出行必不可少的选择。近年来,各大城市针对市内职住分离现象造成的大部分人在日常通勤上时间过长问题,逐渐开通快慢车结合运营模式下的城市轨道交通线路。此外随着城市轨道交通大规模的建设,线网运营规模的迅速扩大,城市轨道交通系统的能耗问题也呈现出持续增长的趋势。在城市轨道交通系统中列车牵引能耗占总能耗的一半左右,因此研究如何降低列车牵引能耗,有效利用列车再生制动能具有一定的现实意义。在既有研究中,城市轨道交通多列车节能运行研究对象主要为站站停模式下的地铁线路,对于快慢车运营组织模式下不同速度等级列车在停站模式上的差异、越行过程中列车之间的相互影响以及再生制动能利用上的差异考虑不足。故研究快慢车运营组织模式下的城市轨道交通列车节能运行优化是有必要的。本文旨在构建在快慢车运营组织模式下以线路净能耗最低为目标的地铁多列车节能优化模型,并结合某条采用快慢车运营组织模式的地铁线路运营数据展开案例分析,给出优化后的列车运行方案,验证模型算法的有效性。论文主要内容包括如下:(1)总结快慢车停站模式与传统停站模式(站站停)的差异,结合快慢车运营组织模式下的列车停站方案特点,提出一种考虑快慢车运营线路特性的单列车节能优化操纵策略,使列车在站间运行过程中牵引能耗最低。(2)以列车运行净能耗最小化为目标,以列车停站时间、快慢车发车间隔为决策变量,构建快慢车运营组织模式下的多列车时刻表优化模型,用于考虑在运行线路上有越行情况的列车再生制动能利用情况以及列车运行净能耗优化情况,并设计粒子群算法进行求解。(3)以某条采用快慢车运营组织模式的地铁线路数据以及运营状况为基础进行模型的有效性论证以及案例研究。案例设置如下场景:快慢车运营组织模式下区间单列车节能操纵优化比较;基于现有快慢车运行线路的运行图以及相关参数展开案例研究,分别考虑同一越行站不同快慢车比例对于多列车节能优化的影响以及考虑始发站发车方案对于多列车节能优化的影响。

【Abstract】 With the rapid development of economy and society,the population of big cities is increasing in number and density.The contradiction between the daily travel demand of urban residents and limited urban traffic resources increases correspondingly.Urban rail transit,as an efficient,convenient,punctual,reliable,safe and independent transportation method,has become an indispensable choice for residents of big cities.In recent years,cities have built urban rail transit lines which adopt the express/local operation,which is used to reduce the long commuting time due to the separation of workplace and residence in cities.In addition,with the large scale construction of urban rail transit and the rapid expansion of the network operations scale,the energy consumption of urban rail transit systems has shown a continuous growth trend.Train traction energy consumption accounts for about a half of the total energy consumption.Therefore,it is of practical significance to reduce the train traction energy consumption and use train regenerative braking energy effectively.The current research about energy-saving operation mainly focus on subway lines with the standard stop mode.The existing research has not considered enough about the difference of stop mode,the interaction between trains in the process of overtaking,and the difference in the utilization of regenerative braking energy between the trains.Therefore,it is necessary to search the energy-saving operation optimization of urban rail transit trains for the skip-stop line.This paper aims to propose a cooperative control model for the skip-stop line with the objective of minimizing the net energy consumption.A case study is performed on the actual operational data to optimize the train operation and verify the effectiveness of the algorithm.The main content of the paper is as follows:(1)The differences between the express/local stop mode and the standard stop mode are summarized,and an optimized driving strategy considering the characteristics of the skip-stop metro line is proposed to minimize the traction energy consumption of trains within multi-station operation.(2)A multi-train schedule optimization model for the skip-stop line is proposed to minimize the net energy consumption,which considers the headway between the express/local trains and the dwell time in each station.This model considers the use of regenerative braking energy for trains with overpassing conditions on the running line and the optimization of net energy consumption for train operations.Finally,a particle swarm optimization algorithm is developed to solve the proposed model.(3)Based on the actual skip-stop line data and line operation status,the validity demonstration and case study of the model are conducted.The case is arranged with following scenarios: energy-saving operation optimization of a single train with the express/local stop mode;a case study based on the existing express/local lines is conducted to study the influence on energy consumption considering the ratio of express/local trains;analysis and comparison of the regenerative braking energy utilization considering the different departure plans in the originating station.

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