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

Wiljan Vermeer; Gautham Ram  Chandra Mouli; Pavol Bauer

doi:10.1109/ITEC53557.2022.9814016

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

Wiljan Vermeer, Gautham Ram Chandra Mouli, Pavol Bauer

DC systems, Energy conversion & Storage

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

17 Downloads (Pure)

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 language	English
Title of host publication	Proceedings of the 2022 IEEE Transportation Electrification Conference & Expo (ITEC)
Publisher	IEEE
Pages	114-118
Number of pages	5
ISBN (Electronic)	978-1-6654-0560-7
ISBN (Print)	978-1-6654-0561-4
DOIs	https://doi.org/10.1109/ITEC53557.2022.9814016
Publication status	Published - 2022
Event	2022 IEEE Transportation Electrification Conference & Expo (ITEC) - Anaheim, United States Duration: 15 Jun 2022 → 17 Jun 2022

Conference

Conference	2022 IEEE Transportation Electrification Conference & Expo (ITEC)
Country/Territory	United States
City	Anaheim
Period	15/06/22 → 17/06/22

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.

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10.1109/ITEC53557.2022.9814016

A_Multi-Objective_Design_Approach_for_PV-Battery_Assisted_Fast_Charging_Stations_Based_on_Real_DataFinal published version, 2.8 MB

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@inproceedings{504d90d4cc1640b78507ab8a1b44f3f6,

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

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.",

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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.; 2022 IEEE Transportation Electrification Conference & Expo (ITEC) ; Conference date: 15-06-2022 Through 17-06-2022",

year = "2022",

doi = "10.1109/ITEC53557.2022.9814016",

language = "English",

isbn = "978-1-6654-0561-4",

pages = "114--118",

booktitle = "Proceedings of the 2022 IEEE Transportation Electrification Conference & Expo (ITEC)",

publisher = "IEEE",

address = "United States",

}

Vermeer, W , Chandra Mouli, GR & Bauer, P 2022, A Multi-Objective Design Approach for PV-Battery Assisted Fast Charging Stations Based on Real Data. in Proceedings of the 2022 IEEE Transportation Electrification Conference & Expo (ITEC)., 9814016, IEEE, pp. 114-118, 2022 IEEE Transportation Electrification Conference & Expo (ITEC), Anaheim, United States, 15/06/22. https://doi.org/10.1109/ITEC53557.2022.9814016

A Multi-Objective Design Approach for PV-Battery Assisted Fast Charging Stations Based on Real Data. / Vermeer, Wiljan ; Chandra Mouli, Gautham Ram ; Bauer, Pavol.
Proceedings of the 2022 IEEE Transportation Electrification Conference & Expo (ITEC). IEEE, 2022. p. 114-118 9814016.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N1 - 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.

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AB - 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.

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

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