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Optimizing train diagrams and adjusting train stopping times using a genetic algorithm is a direct and cost-effective method to maximize regenerative braking energy. This paper establishes a mathematical model for segmenting the power displacement curve of multiple trains and calculating energy consumption. It also analyzes the principle of stopping time optimization and demonstrates how adjusting train stopping times through a genetic algorithm can enhance the interaction energy of multiple trains. Through simulation based on data from the Batong Line of Beijing Metro, it is proven that the genetic algorithm can effectively increase the utilization rate of regenerative braking energy by optimizing train stop times.

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An Optimization Method of Running Diagram for Improving the Energy Interaction Rate of Urban Rail Train Groups

  • 会议论文

  • 发表日期：

    2025年

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  • Siling Yan,
  • Yehui Zhao,
  • Xu Liu,
  • Jing Liu,
  • Xiangwen Shi,
  • Zixuan Li

摘要

Optimizing train diagrams and adjusting train stopping times using a genetic algorithm is a direct and cost-effective method to maximize regenerative braking energy. This paper establishes a mathematical model for segmenting the power displacement curve of multiple trains and calculating energy consumption. It also analyzes the principle of stopping time optimization and demonstrates how adjusting train stopping times through a genetic algorithm can enhance the interaction energy of multiple trains. Through simulation based on data from the Batong Line of Beijing Metro, it is proven that the genetic algorithm can effectively increase the utilization rate of regenerative braking energy by optimizing train stop times.