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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

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Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017 (EITRT 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((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.

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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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Correspondence to Yong Zhang .

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Zhu, M., Zhang, Y., Sun, F., Xing, Z. (2018). An Optimized Method for the Energy-Saving of Multi-metro Trains at Peak Hours Based on Pareto Multi-objective Genetic Algorithm. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 482. Springer, Singapore. https://doi.org/10.1007/978-981-10-7986-3_19

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  • DOI: https://doi.org/10.1007/978-981-10-7986-3_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7985-6

  • Online ISBN: 978-981-10-7986-3

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