Firstly, the stress of the train is analyzed. According to the train force, the dynamic model of train operation is constructed. In view of the performance that the train needs to meet during operation, an optimization model of train energy-saving operation is established. Based on this model, an optimal train operation scheme is obtained by using genetic algorithm. First, the operating interval is partitioned according to the gradient value. Then, by searching the target speed value of each interval, the optimal scheme of automatic train driving with minimum energy consumption is obtained. The correctness of the scheme is verified by comparing with the results of maximum capacity operation.


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    Title :

    An Optimal Operation Scheme Considering Multiple Factors for Automatic High-Speed Train


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Limin (editor) / Qin, Yong (editor) / Liang, Jianying (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Zhang, Kexin (author) / Ding, Yong (author) / Ha, Dalei (author) / Qiu, Ruichang (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021



    Publication date :

    2022-02-22


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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