考虑服务水平的城市轨道交通牵引能耗研究  

Traction Energy Consumption of Urban Rail Transit Considering Level of Service

作　　者：姚恩建[1] 李斌斌[1] 唐英 刘宇环 张锐[4] 孙迅 YAO Enjian;LI Binbin;TANG Ying;LIU Yuhuan;ZHANG Rui;SUN Xun(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China;Transport Planning & Design Studio,Guangzhou Urban Planning & Design Survey Research Institute,Guangzhou 510032,China;Beijing HollySys Co.,Ltd.,Beijing 100176,China;School of Automobile,Chang’an University,Xi’an 710064,China)

机构地区：[1]北京交通大学交通运输学院,北京100044 [2]广州市城市规划勘测设计研究院交通规划设计所,广东广州510032 [3]北京和利时系统工程有限公司,北京100176 [4]长安大学汽车学院,陕西西安710064

出　　处：《铁道学报》2019年第6期16-23,共8页Journal of the China Railway Society

基　　金：中央高校基本科研业务费专项资金(2017YJS090);北京市自然科学基金(8171003)

摘　　要：轨道交通牵引能耗除了受敷设方式、车型、操纵方式等因素影响外,还与列车满载率、开行间隔等服务水平有关。为明晰服务水平与牵引能耗之间的关系,在保证服务水平的前提下给列车节能开行方案合理编制提供参考,以轨道交通线路牵引能耗为研究对象,建立考虑服务水平的牵引能耗模型,并分析一定服务水平下线路的节能潜力。在定性分析服务水平与能耗关系的基础上,提取面向能耗评估相关的服务水平指标并进行等级划分;基于服务水平指标与能耗强度的相关性分析结果,选取环境温度和满载率作为基于支持向量回归的牵引能耗模型的输入,并应用北京地铁历史数据对模型进行标定与验证;以服务水平为约束条件,对线路的节能潜力进行分析。研究结果显示,与既有统计模型相比,提出的模型测算精度较高,平均绝对百分误差为1.5%;在保证服务水平的条件下,优化不同时段列车开行间隔可降低6.04%的牵引能耗。Traction energy consumption (TEC) of urban rail transit is usually affected by line laying mode, train type, train operation mode, as well as its level of service (LOS)(e.g., load factor of train and interval between trains). In order to understand the relationship between LOS and TEC, and provide a reference for the rational development of energy-saving train operation plan without lowering LOS, this study proposed a TEC model considering LOS indicators and analyzed the energy saving potential under a certain LOS based on the study of TEC of urban rail transit line. First, the LOS indicators for energy assessments were extracted and classified on the basis of qualitative analysis of the relationship between LOS and energy consumption. Second, based on the analysis of the correlation between extracted LOS indicators and energy consumption strength, two indicators including environment temperature and load factor were selected as the inputs of support vector regression-based TEC model, which was estimated and validated with the data collected from Beijing urban rail system. Finally, the energy saving potential was analyzed with LOS as the constraint condition. The results show the proposed model has higher measurement accuracy with mean absolute percentage error of 1.5% compared with existing statistical models. Moreover, without lowering LOS, the TEC can be reduced by 6.04% through the optimization of train interval for different time periods in a day.

关 键 词：城市轨道交通 牵引能耗 服务水平 支持向量回归 能耗节约 

分 类 号：U239.5[交通运输工程—道路与铁道工程] U260.15[机械工程—车辆工程]