The University of Southampton
University of Southampton Institutional Repository

Rating a stationary energy storage system within a fast electric vehicle charging station considering user waiting times

Rating a stationary energy storage system within a fast electric vehicle charging station considering user waiting times
Rating a stationary energy storage system within a fast electric vehicle charging station considering user waiting times
The use of stationary energy storage at fast electric vehicle charging stations can buffer the energy between the electricity grid and electric vehicles, thereby reducing the maximum required grid connection power and potentially mitigating the need for grid infrastructure upgrade. In this paper, a method is presented that sizes the stationary energy storage based on an acceptable average waiting time of drivers arriving at a fast charging station. The novelty of the paper is the focus on the relationship between size of stationary energy store and user waiting time. This relationship is often ignored, however is critical to obtaining the optimum capacity of stationary energy store. An example charging station location is chosen where there are currently eight chargers capable of 120kW charging and a 500kW grid connection. It is demonstrated that the method can be used at this location to design a charging station with stationary energy storage to support future 400kW charging without upgrading the current grid connection infrastructure. With future charging, using a stationary energy storage with a capacity of 1,000kWh reduces the maximum grid power from 1,800kW to 500kW.
2332-7782
Bryden, Thomas S.
451e1fd4-25ab-4771-9e69-0598acf6d626
Hilton, George
fd332562-ee82-4b62-b99c-0d0ee2e06ca1
Dimitrov, Borislav
7a128e82-8621-4ffb-8390-77f7153d5d3a
Ponce De Leon Albarran, Carlos
508a312e-75ff-4bcb-9151-dacc424d755c
Cruden, Andrew
ed709997-4402-49a7-9ad5-f4f3c62d29ab
Bryden, Thomas S.
451e1fd4-25ab-4771-9e69-0598acf6d626
Hilton, George
fd332562-ee82-4b62-b99c-0d0ee2e06ca1
Dimitrov, Borislav
7a128e82-8621-4ffb-8390-77f7153d5d3a
Ponce De Leon Albarran, Carlos
508a312e-75ff-4bcb-9151-dacc424d755c
Cruden, Andrew
ed709997-4402-49a7-9ad5-f4f3c62d29ab

Bryden, Thomas S., Hilton, George, Dimitrov, Borislav, Ponce De Leon Albarran, Carlos and Cruden, Andrew (2019) Rating a stationary energy storage system within a fast electric vehicle charging station considering user waiting times. IEEE Transactions on Transportation Electrification. (doi:10.1109/TTE.2019.2910401).

Record type: Article

Abstract

The use of stationary energy storage at fast electric vehicle charging stations can buffer the energy between the electricity grid and electric vehicles, thereby reducing the maximum required grid connection power and potentially mitigating the need for grid infrastructure upgrade. In this paper, a method is presented that sizes the stationary energy storage based on an acceptable average waiting time of drivers arriving at a fast charging station. The novelty of the paper is the focus on the relationship between size of stationary energy store and user waiting time. This relationship is often ignored, however is critical to obtaining the optimum capacity of stationary energy store. An example charging station location is chosen where there are currently eight chargers capable of 120kW charging and a 500kW grid connection. It is demonstrated that the method can be used at this location to design a charging station with stationary energy storage to support future 400kW charging without upgrading the current grid connection infrastructure. With future charging, using a stationary energy storage with a capacity of 1,000kWh reduces the maximum grid power from 1,800kW to 500kW.

Text
Rating a Stationary Energy Storage System within a Fast Electric Vehicle Charging Station Considering User Waiting Times v4 - Accepted Manuscript
Download (512kB)

More information

Accepted/In Press date: 26 March 2019
e-pub ahead of print date: 15 April 2019

Identifiers

Local EPrints ID: 430025
URI: https://eprints.soton.ac.uk/id/eprint/430025
ISSN: 2332-7782
PURE UUID: 61418a2d-d903-49cf-aba1-42365dc573dc
ORCID for Carlos Ponce De Leon Albarran: ORCID iD orcid.org/0000-0002-1907-5913
ORCID for Andrew Cruden: ORCID iD orcid.org/0000-0003-3236-2535

Catalogue record

Date deposited: 10 Apr 2019 16:30
Last modified: 02 May 2019 00:34

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×