Energy-saving operation approaches for urban rail transit systems

被引:52
作者
Gao, Ziyou [1 ]
Yang, Lixing [1 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
关键词
urban rail transit; energy saving; speed profile optimization; regenerative energy; train timetable; TIMETABLE OPTIMIZATION; EFFICIENT OPERATION;
D O I
10.1007/s42524-019-0030-7
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the accelerated urbanization in China, passenger demand has dramatically increased in large cities, and traffic congestion has become serious in recent years. Developing public urban rail transit systems is an indispensable approach to overcome these problems. However, the high energy consumption of daily operations is an emerging issue due to increased rail transit networks and passenger demands. Thus, reducing the energy consumption and operational cost by using advanced optimization methodologies is an urgent task for operation managers. This work systematically introduces energy-saving approaches for urban rail transit systems in three aspects, namely, train speed profile optimization, utilization of regenerative energy, and integrated optimization of train timetable and speed profile. Future research directions in this field are also proposed to meet increasing passenger demands and network-based urban rail transit systems.
引用
收藏
页码:139 / 151
页数:13
相关论文
共 20 条
[1]   Energy Storage System With Supercapacitor for an Innovative Subway [J].
Allegre, Anne-Laure ;
Bouscayrol, Alain ;
Delarue, Philippe ;
Barrade, Philippe ;
Chattot, Eric ;
El-Fassi, Said .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2010, 57 (12) :4001-4012
[2]  
[Anonymous], 2006, TRAIN TRACTION CALCU
[3]   Optimising train movements through coast control using genetic algorithms [J].
Chang, CS ;
Sim, SS .
IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS, 1997, 144 (01) :65-73
[4]   Energy-Efficient Train Operation in Urban Rail Transit Using Real-Time Traffic Information [J].
Gu, Qing ;
Tang, Tao ;
Cao, Fang ;
Song, Yong-duan .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 15 (03) :1216-1233
[5]   ENERGY-EFFICIENT TRAIN CONTROL [J].
HOWLETT, PG ;
MILROY, IP ;
PUDNEY, PJ .
CONTROL ENGINEERING PRACTICE, 1994, 2 (02) :193-200
[6]   Train speed profile optimization with on-board energy storage devices: A dynamic programming based approach [J].
Huang, Yeran ;
Yang, Lixing ;
Tang, Tao ;
Gao, Ziyou ;
Cao, Fang ;
Li, Keping .
COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 126 :149-164
[7]  
Ichikawa K., 1968, Bulletin of the Japan Society of Mechanical Engineers, V11, P857, DOI 10.1299/jsme1958.11.857
[8]   Optimisation of train energy-efficient operation for mass rapid transit systems [J].
Ke, B. -R. ;
Lin, C. -L. ;
Yang, C. -C. .
IET INTELLIGENT TRANSPORT SYSTEMS, 2012, 6 (01) :58-66
[9]   Block-Layout Design Using MAX-MIN Ant System for Saving Energy on Mass Rapid Transit Systems [J].
Ke, Bwo-Ren ;
Chen, Meng-Chieh ;
Lin, Chun-Liang .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2009, 10 (02) :226-235
[10]   An energy-efficient scheduling and speed control approach for metro rail operations [J].
Li, Xiang ;
Lo, Hong K. .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2014, 64 :73-89