Multifunctional Applications of Batteries within Fast-Charging Stations based on EV Demand-Prediction of the Users’ Behaviour

Marjan Gjelaj*, Nataly Bañol Arias, Chresten Træholt, Seyedmostafa Hashemi Toghroljerdi

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

This paper presents a methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) fast charging load. Fast charging stations (FCSs) are indispensable for widespread use of EVs since they can fully charge EVs in a short period of time. The integration of battery energy storage (BES) within the FCSs is considered a smart option to avoid the power congestion during the peak hours as well as the grid reinforcement costs due to FCSs. In addition, the BES can be used as multifunctional equipment, which is able to provide services such as peak shaving and frequency regulation. This paper proposes a method to determine an optimal size of BES considering a stochastic modelling approach of the EVs load demand based on the users’ behaviour and their probabilistic driving patterns. Finally, a case study is carried out using a real DC fast-charging infrastructure in Copenhagen.
Original languageEnglish
JournalThe Journal of Engineering
Volume2019
Issue number18
Pages (from-to)4869-4873
ISSN2051-3305
DOIs
Publication statusPublished - 2019
Event7th International Conference on Renewable Power Generation - DTU, Lyngby, Copenhagen, Denmark
Duration: 26 Sep 201827 Sep 2018

Conference

Conference7th International Conference on Renewable Power Generation
LocationDTU, Lyngby
CountryDenmark
CityCopenhagen
Period26/09/201827/09/2018

Keywords

  • Electric vehicle
  • Battery energy storage
  • Fast charging station
  • Frequency regulation
  • Peak shaving

Cite this

@article{74b7d303920740cebb157bb27599334e,
title = "Multifunctional Applications of Batteries within Fast-Charging Stations based on EV Demand-Prediction of the Users’ Behaviour",
abstract = "This paper presents a methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) fast charging load. Fast charging stations (FCSs) are indispensable for widespread use of EVs since they can fully charge EVs in a short period of time. The integration of battery energy storage (BES) within the FCSs is considered a smart option to avoid the power congestion during the peak hours as well as the grid reinforcement costs due to FCSs. In addition, the BES can be used as multifunctional equipment, which is able to provide services such as peak shaving and frequency regulation. This paper proposes a method to determine an optimal size of BES considering a stochastic modelling approach of the EVs load demand based on the users’ behaviour and their probabilistic driving patterns. Finally, a case study is carried out using a real DC fast-charging infrastructure in Copenhagen.",
keywords = "Electric vehicle, Battery energy storage, Fast charging station, Frequency regulation, Peak shaving",
author = "Marjan Gjelaj and Arias, {Nataly Ba{\~n}ol} and Chresten Tr{\ae}holt and {Hashemi Toghroljerdi}, Seyedmostafa",
year = "2019",
doi = "10.1049/joe.2018.9280",
language = "English",
volume = "2019",
pages = "4869--4873",
journal = "The Journal of Engineering",
issn = "2051-3305",
publisher = "TheInstitution of Engineering and Technology",
number = "18",

}

Multifunctional Applications of Batteries within Fast-Charging Stations based on EV Demand-Prediction of the Users’ Behaviour. / Gjelaj, Marjan; Arias, Nataly Bañol ; Træholt, Chresten; Hashemi Toghroljerdi, Seyedmostafa.

In: The Journal of Engineering, Vol. 2019, No. 18, 2019, p. 4869-4873.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Multifunctional Applications of Batteries within Fast-Charging Stations based on EV Demand-Prediction of the Users’ Behaviour

AU - Gjelaj, Marjan

AU - Arias, Nataly Bañol

AU - Træholt, Chresten

AU - Hashemi Toghroljerdi, Seyedmostafa

PY - 2019

Y1 - 2019

N2 - This paper presents a methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) fast charging load. Fast charging stations (FCSs) are indispensable for widespread use of EVs since they can fully charge EVs in a short period of time. The integration of battery energy storage (BES) within the FCSs is considered a smart option to avoid the power congestion during the peak hours as well as the grid reinforcement costs due to FCSs. In addition, the BES can be used as multifunctional equipment, which is able to provide services such as peak shaving and frequency regulation. This paper proposes a method to determine an optimal size of BES considering a stochastic modelling approach of the EVs load demand based on the users’ behaviour and their probabilistic driving patterns. Finally, a case study is carried out using a real DC fast-charging infrastructure in Copenhagen.

AB - This paper presents a methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) fast charging load. Fast charging stations (FCSs) are indispensable for widespread use of EVs since they can fully charge EVs in a short period of time. The integration of battery energy storage (BES) within the FCSs is considered a smart option to avoid the power congestion during the peak hours as well as the grid reinforcement costs due to FCSs. In addition, the BES can be used as multifunctional equipment, which is able to provide services such as peak shaving and frequency regulation. This paper proposes a method to determine an optimal size of BES considering a stochastic modelling approach of the EVs load demand based on the users’ behaviour and their probabilistic driving patterns. Finally, a case study is carried out using a real DC fast-charging infrastructure in Copenhagen.

KW - Electric vehicle

KW - Battery energy storage

KW - Fast charging station

KW - Frequency regulation

KW - Peak shaving

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EP - 4873

JO - The Journal of Engineering

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