Volume 7 Number 4 (Apri. 2012)
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JCP 2012 Vol.7(4): 1025-1033 ISSN: 1796-203X
doi: 10.4304/jcp.7.4.1025-1033

Train Coordinated Optimization Operation with Regenerative Braking

Peng Zhou1, 2, 3, Hongze Xu1
1State Key Laboratory of Rail Traffic Control Safety, Beijing Jiaotong University, Beijing, China
2Centre for Industrial and Applied Mathematics, University of South Australia, Mawson Lakes, Adelaide, SA, Australia
3School of Mathematics and Statistics, University of South Australia, Mawson Lakes, Adelaide, SA, Australia


Abstract—Reducing the traction energy consumption plays an important role in railway energy saving. The traditional train optimization operation theories, taking the coasting as the means of energy saving, can’t fit complicated lines and is suitable for the single train only. Meanwhile, the highly complicated line will cause the risk of train collision. On the background of the “11th Five-Year” State Science and Technology Support project, a multi-train coordinated optimization operation method based on regenerative braking and safety constraint is studied, and then its application is researched relied on the experimental line. Firstly, a multi-train and multi-object dispatch method for energy saving with safety constraints is researched, and the flexible time constraint model is established. Secondly, on this basis, the multi-train coordinated optimization operation algorithm with the constraints of flexible time and safety is got. At last, the application research is done with the experimental line as the background. The results show that the multi-train coordinated optimization operation method based on regenerative braking, with flexible time and safety constraints, can decrease the energy consumption greatly and improve the traffic volume dramatically in the condition of complicated lines.

Index Terms—Train optimization operation, multi-train coordination, safety constraints, regenerative braking, the steep ramp with gradient 100%.

[PDF]

Cite: Peng Zhou, Hongze Xu, "Train Coordinated Optimization Operation with Regenerative Braking," Journal of Computers vol. 7, no. 4, pp. 1025-1033, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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