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An Optimized Method for the Energy-Saving of Multi-metro Trains at Peak Hours Based on Pareto Multi-objective Genetic Algorithm

  • Muhan Zhu
  • Yong Zhang
  • Fei Sun
  • Zongyi Xing
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 482)

Abstract

Urban rail train starts and brakes frequently in it’s movement. It is important to improve the utilization efficiency of electric energy and reduce the traction energy consumption in the field of metro transit. At peak hours, the overlap time between two trains in the same power supply interval is longer and there is much more renewable energy generated by the train’s braking due to a large increasement in passenger flow and the number of departure. In this paper, a method based on pareto multi-objective genetic algorithm is proposed to optimize energy consumption. By optimizing the stopping time of trains in each station, train schedule is optimized and the regenerative braking energy can be used more efficiently.

Keywords

Train energy-saving Multi-objective optimization Genetic algorithm Train timetable optimization 

Notes

Acknowledgements

This work is supported by National Key R&D Program of China under Grant (2016YFB1200402) and Guang Zhou science and technology plan project (No. 201604030061).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of AutomationNanjing University of Science and TechnologyNanjingChina

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