An Energy-saving Operation Strategy for High Speed Trains Based on Genetic Algorithm

DOI

10.2991/jimet-15.2015.149How to use a DOI?

Keywords

Energy-saving Operation strategy, Optimization combination technique, Genetic algorithm.

Abstract

This paper studies an optimization operation strategy for high-speed trains with a purpose of minimizing the running energy consumption in a fixed time. A more comprehensive and energy-saving model based on a priori available information is proposed, where the relatively special performance characteristics of high-speed rail trains and the rail parameters associated are considered, especially the geographical factor is first time to be used in establishing energy model. Optimization combination technique is also introduced to solve energy consumption optimization problem of subsections and speed codes for the first time, and genetic algorithm is applied to search speed codes in order to design an energy-saving speed trajectory. Thus there are less decision parameters in the strategy, which reduce the computational complexity and increase the computing speed, making the method become more feasible and favorable for different demands in online operation and offline analysis. To verify the effectiveness of the proposed method, a minimal energy driving on Wuhan-Guangzhou line for CHR-3 is simulated.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenting Song
AU  - Mi Tan
AU  - Wenchuan Cai
PY  - 2015/12
DA  - 2015/12
TI  - An Energy-saving Operation Strategy for High Speed Trains Based on Genetic Algorithm
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 799
EP  - 802
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.149
DO  - 10.2991/jimet-15.2015.149
ID  - Song2015/12
ER  -