A Multi-Objective Design Approach for PV-Battery Assisted Fast Charging Stations Based on Real Data

Conference paper (2022)

Authors

W.W.M. Vermeer DC systems, Energy conversion & Storage - EEMCS
G.R. Chandra Mouli DC systems, Energy conversion & Storage - EEMCS
P. Bauer DC systems, Energy conversion & Storage - EEMCS
Research Group
DC systems, Energy conversion & Storage (EEMCS) (TU Delft)
Copyright: © 2022 W.W.M. Vermeer, G.R. Chandra Mouli, P. Bauer
DOI: https://doi.org/10.1109/ITEC53557.2022.9814016
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Published Date

2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

Abstract

This paper presents a multi-objective approach to designing an optimal PV-BES assisted EV fast charging station. The trade-offs between lifetime net present value (NPV), energy independence, and grid power reduction are analyzed using particle swarm optimization and real 50kW fast charging data. Our results show a maximum lifetime profit of close to 4M euro. Furthermore, for only a 8% decrease in profit the we can achieve up to 62% of the maximum energy independence and 46% peak power demand reduction. This show that EV fast charging stations can become more significantly more sustainable and have a less fluctuating demand, for very little reduction in profits.