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Research on Train Energy-Saving Optimization Based on Parallel Immune Particle Swarm Optimization

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Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 (EITRT 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 638))

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Abstract

Aiming at the optimization problem of subway train energy conservation, this paper proposes a train energy-saving optimization method based on parallel immune particle swarm optimization. The parallel immune particle swarm optimization algorithm is used to optimize the train energy saving in two stages: firstly, the running time of each interval is fixed, the algorithm is used to search for the optimal working condition switching point, and then, the train running time is optimized under the premise of constant running time. Finally, using the real data of Beijing Yizhuang line to simulate, verify the feasibility of the model and algorithm.

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References

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Acknowledgements

This work is supported by National Key R&D Program of China (2017YFB1201004).

Author information

Authors and Affiliations

  1. School of Automation, Nanjing University of Science and Technology, Nanjing, China

    Shibo Li, Wang Dai, Lichao Fang, Yong Zhang & Zongyi Xing

Authors
  1. Shibo Li
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  2. Wang Dai
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  3. Lichao Fang
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  4. Yong Zhang
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  5. Zongyi Xing
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Editor information

Editors and Affiliations

  1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

    Limin Jia

  2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

    Yong Qin

  3. National Innovation Center of High Speed Train, Qingdao, China

    Baoming Liu

  4. Beijing Jiaotong University, Beijing, China

    Zhigang Liu

  5. Beijing Jiaotong University, Beijing, China

    Lijun Diao

  6. School of Science, Engineering and Environment, University of Salford, Salford, UK

    Min An

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Li, S., Dai, W., Fang, L., Zhang, Y., Xing, Z. (2020). Research on Train Energy-Saving Optimization Based on Parallel Immune Particle Swarm Optimization. In: Jia, L., Qin, Y., Liu, B., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-15-2862-0_4

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  • DOI: https://doi.org/10.1007/978-981-15-2862-0_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2861-3

  • Online ISBN: 978-981-15-2862-0

  • eBook Packages: EngineeringEngineering (R0)

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