The high pulsating demand of fast charging stations (FCS) may cause monthly demand charges to account for a significant fraction of a station's electric bill. To reduce these costs, demand charge management can be applied to suppress peak power demands at FCSs, also using battery energy storage systems (BESS). This paper proposes a multi-objective approach for the optimal BESS and grid-tie sizing in FCS designs using genetic algorithms. With demand data from a FCS in the Netherlands, numerical studies are conducted in the Mosaik and Pymoo environments to assess the effectiveness of the proposed formulation.


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    Titel :

    Optimal Battery Energy Storage System Sizing for Demand Charge Management in EV Fast Charging Stations


    Beteiligte:
    Koolman, George (Autor:in) / Stecca, Marco (Autor:in) / Bauer, Pavol (Autor:in)


    Erscheinungsdatum :

    2021-06-21


    Format / Umfang :

    2857961 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch