With the increasing application of railway transportation, energy consumption of railway transportation rises dramatically, which in turn undermines its sustainability. Optimization on train speed profile and use of regenerative energy is becoming a feasible and applicable approach to achieve an energy-efficient operation without changing existing infrastructures. Considering both dwelling at stations and running in the inter-station sections, the paper proposes an integrated optimization model for reducing net energy consumption from the viewpoint of energy interaction among train, substation and on-board energy storage device (ESD), based on which the optimal train speed profile is also found. The discharge/charge strategy of on-board ESD is explored and comparative case studies are given, under the assumption of higher efficiency from the on-board ESD, less net energy consumption can be achieved via energy interaction with substation. Through charging from substation the net energy consumption can be reduced, i.e. 0.2%, in the comparison.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimization of Speed Profile and Energy Interaction at Stations for a Train Vehicle with On-board Energy Storage Device


    Beteiligte:
    Wu, Chaoxian (Autor:in) / Lu, Shaofeng (Autor:in) / Xue, Fei (Autor:in) / Jiang, Lin (Autor:in) / Yang, Jie (Autor:in)


    Erscheinungsdatum :

    2018-06-01


    Format / Umfang :

    1085819 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    OPTIMIZATION OF SPEED PROFILE AND ENERGY INTERACTION AT STATIONS FOR A TRAIN VEHICLE WITH ON-BOARD ENERGY STORAGE DEVICE

    Wu, Chaoxian / Lu, Shaofeng / Xue, Fei et al. | British Library Conference Proceedings | 2018


    Train Speed Trajectory Optimization With On-Board Energy Storage Device

    Wu, Chaoxian / Zhang, Wenrui / Lu, Shaofeng et al. | IEEE | 2019