A Multi-Objective Design Approach for PV-Battery Assisted Fast Charging Stations Based on Real Data
Wiljan Vermeer (TU Delft - DC systems, Energy conversion & Storage)
Gautham Ram Chandra Mouli (TU Delft - DC systems, Energy conversion & Storage)
Pavol Bauer (TU Delft - DC systems, Energy conversion & Storage)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
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.