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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    Title :

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


    Contributors:


    Publication date :

    2021-06-21


    Size :

    2857961 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English