Optimization of Train Operation in Multiple Interstations with Multi-Population Genetic Algorithm

被引:42
|
作者
Huang, Youneng [1 ,2 ,4 ]
Ma, Xiao [1 ,2 ]
Su, Shuai [1 ,2 ]
Tang, Tao [3 ,4 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Transportat Operat & Contr, Beijing 100044, Peoples R China
[3] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
[4] Beijing Jiaotong Univ, Beijing Lab Rail Traff, Beijing 100044, Peoples R China
来源
ENERGIES | 2015年 / 8卷 / 12期
关键词
subway; driving strategy; energy-efficient operation; trip time; ENERGY-EFFICIENT OPERATION; SCHEDULING MODEL; OPTIMAL-DESIGN; COAST CONTROL; CONSUMPTION;
D O I
10.3390/en81212433
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Subway systems consume a large amount of energy each year. How to reduce the energy consumption of subway systems has already become an issue of concern in recent years. This paper proposes an energy-efficient approach to reduce the traction energy by optimizing the train operation for multiple interstations. Both the trip time and driving strategy are considered in the proposed optimization approach. Firstly, a bi-level programming model of multiple interstations is developed for the energy-efficient train operation problem, which is then converted into an integrated model to calculate the driving strategy for multiple interstations. Additionally, the multi-population genetic algorithm (MPGA) is used to solve the problem, followed by calculating the energy-efficient trip times. Finally, the paper presents some examples based on the operation data of the Beijing Changping subway line. The simulation results show that the proposed approach presents a better energy-efficient performance than that with only optimizing the driving strategy for a single interstation.
引用
收藏
页码:14311 / 14329
页数:19
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