Energy management strategy and sizing are the key steps of the design of tram's power system and the result has a direct influence on operation characteristics and economic benefit. This paper subscribes an energy management strategy with dynamic power proportion, and makes a collaborative multi-objective optimization of dynamic power proportions and sizing based on the requirement of tram and line data using an improved Particle Swarm Optimization algorithm (PSO). The optimization decreases system weight and cost and prolongs the lifespan of battery.


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    Titel :

    Collaborative optimization of energy management strategy and sizing for the hybrid storage system of tram


    Beteiligte:
    Wang, Yu (Autor:in) / Yang, Zhongping (Autor:in) / Lin, Fei (Autor:in)


    Erscheinungsdatum :

    01.08.2017


    Format / Umfang :

    558540 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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