Abstract
Aiming at the multi-vehicle energy-saving problem of a metro train, this paper presents a research method of multi-vehicle operation energy saving based on genetic algorithm. First, the process of braking energy transfer in multi-train operation is analyzed. Second, taking the least energy consumption, and travel time as the targets, all-day trains, and the high/low peak traffic as the constraints, a multi-vehicle energy-saving model based on a multi-vehicle operation energy saving is established. Finally, the genetic algorithm is used to obtain the optimal stopping time and starting interval, and the total energy consumption, train energy consumption, and line loss are calculated. At the same time, the multi-vehicle energy-saving simulation is carried out by using the short-term of four sections of Rong Jingdong Street Station to Yizhuang Bridge Station of Beijing Yizhuang Line, and it also optimized the stopping time and the starting interval.
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Acknowledgements
This work is supported by Guangzhou Science and Technology Project (201604030061) and National Key R&D Program of China under Grant 2016YFB1200402.
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Wang, X., Zhou, X., Zhang, Y., Xing, Z. (2018). Study on Energy Saving of Multi-vehicle Operation Based on Genetic Optimization 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 483. Springer, Singapore. https://doi.org/10.1007/978-981-10-7989-4_54
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DOI: https://doi.org/10.1007/978-981-10-7989-4_54
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