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A timetable optimization model and an improved artificial bee colony algorithm for maximizing regenerative energy utilization in a subway system
Liu, Hongjie1,2,3; Tang, Tao1,2; Guo XW(郭希旺)3,4,5; Xia, Xisheng6
作者部门工业控制网络与系统研究室
关键词Regenerative energy utilization timetable optimization headway time dwell time artificial bee colony
发表期刊ADVANCES IN MECHANICAL ENGINEERING
ISSN1687-8140
2018
卷号10期号:9页码:1-13
收录类别SCI
WOS记录号WOS:000445224400001
产权排序4
资助机构National Key Research and Development Program of China ; Beijing municipal natural science foundation ; Fundamental Research Funds for the Central Universities ; TCT Funding Program ; Chinese Railway Certification Center funding program ; Beijing Laboratory of Urban Rail Transit ; China Scholarship Council
摘要Maximizing regenerative energy utilization in subway systems has become a hot research topic in recent years. By coordinating traction and braking trains in a substation, regenerative energy is optimally utilized and thus energy consumption from the substation can be reduced. This article proposes a timetable optimization problem to maximize regenerative energy utilization in a subway system with headway and dwell time control. We formulate its mathematical model, and some required constraints are considered in the model. To keep the operation time duration constant, the headway time between different trains can be different. An improved artificial bee colony algorithm is designed to solve the problem. Its main procedure and some related tasks are presented. Numerical experiments based on the data from a subway line in China are conducted, and improved artificial bee colony is compared with a genetic algorithm. Experimental results prove the correctness of the mathematical model and the effectiveness of improved artificial bee colony, which improves regenerative energy utilization for the experimental line and performs better than genetic algorithm.
语种英语
WOS类目Thermodynamics ; Engineering, Mechanical
关键词[WOS]BRAKING ENERGY ; PERFORMANCE ; STRATEGIES ; MANAGEMENT ; FLOW
WOS研究方向Thermodynamics ; Engineering
资助项目National Key Research and Development Program of China[2018YFB1201501] ; Beijing municipal natural science foundation[L161008] ; Fundamental Research Funds for the Central Universities[2016JBZ004] ; TCT Funding Program[9907006510] ; Chinese Railway Certification Center funding program[1852ZJ1303] ; Beijing Laboratory of Urban Rail Transit ; China Scholarship Council
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文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/22819
专题工业控制网络与系统研究室
作者单位1.State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
2.School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China
3.Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA
4.Key Laboratory of Network Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning, China
5.Computer and Communication Engineering College, Liaoning Shihua University, Fushun, China
6.Research and Development Center, Traffic Control Technology Co., Ltd., Beijing, China
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Liu, Hongjie,Tang, Tao,Guo XW,et al. A timetable optimization model and an improved artificial bee colony algorithm for maximizing regenerative energy utilization in a subway system[J]. ADVANCES IN MECHANICAL ENGINEERING,2018,10(9):1-13.
APA Liu, Hongjie,Tang, Tao,Guo XW,&Xia, Xisheng.(2018).A timetable optimization model and an improved artificial bee colony algorithm for maximizing regenerative energy utilization in a subway system.ADVANCES IN MECHANICAL ENGINEERING,10(9),1-13.
MLA Liu, Hongjie,et al."A timetable optimization model and an improved artificial bee colony algorithm for maximizing regenerative energy utilization in a subway system".ADVANCES IN MECHANICAL ENGINEERING 10.9(2018):1-13.
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