Maximizing regenerative energy utilization (REU) has become a hot topic in subway systems recently. This paper proposes a timetable optimization problem to maximize REU with the headway and dwell time control, which coordinates the traction and braking trains in each substation. The mathematical model are formulated, and some realistic constraints are considered. An improved artificial bee colony algorithm (IABCA) is designed to solve our problem, the pseudo-code of its main process and the generation of a feasible solution are presented. Numerical experiments based on the data from a subway line in China are conducted, and IABCA is compared with a genetic algorithm. Experimental results prove the correctness of the mathematical model and the effectiveness of IABCA.


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    Titel :

    Maximize Regenerative Energy Utilization through Timetable Optimization in a Subway System


    Beteiligte:
    Liu, Hongjie (Autor:in) / Ning, Bin (Autor:in) / Tang, Tao (Autor:in) / Guo, Xiwang (Autor:in)


    Erscheinungsdatum :

    01.12.2018


    Format / Umfang :

    210833 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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