Print Email Facebook Twitter Optimal Battery Energy Storage System Sizing for Demand Charge Management in EV Fast Charging Stations Title Optimal Battery Energy Storage System Sizing for Demand Charge Management in EV Fast Charging Stations Author Koolman, George (Student TU Delft) Stecca, M. (TU Delft DC systems, Energy conversion & Storage) Bauer, P. (TU Delft DC systems, Energy conversion & Storage) Date 2021 Abstract 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. Subject Battery energy storage systemsDemand charge managementElectrical vehiclesFast charging stationsGenetic algorithmsMulti-objective optimizationsNSGA-II To reference this document use: http://resolver.tudelft.nl/uuid:23a41174-d3d3-4765-9817-a75491b138dc DOI https://doi.org/10.1109/ITEC51675.2021.9490138 Publisher IEEE ISBN 978-1-7281-7584-3 Source 2021 IEEE Transportation Electrification Conference & Expo (ITEC): Proceedings Event 2021 IEEE Transportation Electrification Conference & Expo (ITEC), 2021-06-21 → 2021-06-25, Virtual at Chicago, United States Bibliographical note Accepted author manuscript Part of collection Institutional Repository Document type conference paper Rights © 2021 George Koolman, M. Stecca, P. Bauer Files PDF ITEC_Final_GKoolman.pdf 1.51 MB Close viewer /islandora/object/uuid:23a41174-d3d3-4765-9817-a75491b138dc/datastream/OBJ/view