Capacity optimisation framework for fast charging stations operating under cold weather

Tools

Bayram, I. Safak; (2021) Capacity optimisation framework for fast charging stations operating under cold weather. In: 2021 56th International Universities Power Engineering Conference (UPEC). 2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings . IEEE, GBR. ISBN 9781665443890 (https://doi.org/10.1109/UPEC50034.2021.9548183)

[thumbnail of Bayram-UPEC-2021-Capacity-optimisation-framework-for-fast-charging-stations]
Preview
 Text. Filename: Bayram_UPEC_2021_Capacity_optimisation_framework_for_fast_charging_stations.pdf
Accepted Author Manuscript
Download (1MB)| Preview

Abstract

In this paper, we present a probabilistic capacity planning framework for electric vehicle (EV) fast charging stations that operate under cold weather. Existing literature on charging station modelling assumes that fast charging occurs at the rated capacity. However, recent empirical studies reveal that the actual charging rate depends on the battery and ambient temperatures and substantially reduces under cold weather. The proposed model is based on a multi-class queuing system where EV classes are determined based on temperature-dependent charger rates. The primary goal is to calculate minimum station capacity that can provide a certain level of quality of service (QoS) to each customer class. The performance metric describes the percentage of EVs that need to wait for service or leave the station. Case studies are provided to show the relationship between customer arrival rates, charging power and customer classes, and target QoS levels. The results further illustrate that the proposed framework achieves nearly one-third of capacity savings compared to baseline scenarios. The problems pertinent to temperature effects on EV charging require greater attention as EVs are becoming the main mode of transport in the next decade.

ORCID iDs

Bayram, I. Safak ORCID logoORCID: https://orcid.org/0000-0001-8130-5583;
  • Item type:Book Section
    ID code:76917
    Dates:
    Date
    Event
    31 August 2021
    Published
    30 June 2021
    Accepted
    Notes:© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:30 Jun 2021 08:39
    Last modified:12 Dec 2024 01:28
    URI:https://strathprints.strath.ac.uk/id/eprint/76917
CORE (COnnecting REpositories)