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.
Optimal Battery Energy Storage System Sizing for Demand Charge Management in EV Fast Charging Stations
2021-06-21
2857961 byte
Conference paper
Electronic Resource
English
BATTERY ENERGY STATIONS AND CHARGING MANAGEMENT METHODS THEREOF
European Patent Office | 2024
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