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

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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.
Original languageEnglish
Title of host publicationProceedings of the 2022 IEEE Transportation Electrification Conference & Expo (ITEC)
PublisherIEEE
Pages114-118
Number of pages5
ISBN (Electronic)978-1-6654-0560-7
ISBN (Print)978-1-6654-0561-4
DOIs
Publication statusPublished - 2022
Event2022 IEEE Transportation Electrification Conference & Expo (ITEC) - Anaheim, United States
Duration: 15 Jun 202217 Jun 2022

Conference

Conference2022 IEEE Transportation Electrification Conference & Expo (ITEC)
Country/TerritoryUnited States
CityAnaheim
Period15/06/2217/06/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

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