Stochastic modelling of fast DC charging stations with shared power modules

Tools

Bayram, I. Safak and Sevdari, Kristian (2024) Stochastic modelling of fast DC charging stations with shared power modules. In: 2nd IEEE International Conference on Renewable Energies and Smart Technologies 2024, 2024-06-27 - 2024-06-28, University of Prishtina.

[thumbnail of Bayram-Sevdari-2024-Stochastic-modelling-of-fast-DC-charging-stations-with-shared-power-modules]
Preview
 Text. Filename: Bayram-Sevdari-2024-Stochastic-modelling-of-fast-DC-charging-stations-with-shared-power-modules.pdf
Accepted Author Manuscript
License: Strathprints license 1.0
Download (1MB)| Preview

Abstract

Fast DC charging stations are becoming increasingly necessary for wider electric vehicle uptake. In standard DC chargers, each charging unit has its own charging power and cannot be shared with another electric vehicle. Depending on the electric vehicle type, the maximum DC charging power varies (e.g.50 kW for small sedans and $\geq 100$ kW for SUVs) in parallel to battery chemistry and capacity. If the charger power is higher than the maximum charging capacity of an EV, then, charging resources are wasted for other vehicles which can accept high charging currents. On the other hand, recent advances in power electronics enable centralized inverters to supply power to multiple DC chargers and shift the load between them dynamically. To that end, we propose a stochastic model for a fast charging station in which the charging power modules are centrally located and electric vehicles are connected via external charging sockets. The charging station serves multi-class customers based on their charging power, random arrival and service durations. The system is modelled with a multi-rate Erlang loss system and a methodology to calculate the probability of meeting customer demand is presented. Case studies are presented to provide insights on how the station performs under varying station settings.

ORCID iDs

Bayram, I. Safak ORCID logoORCID: https://orcid.org/0000-0001-8130-5583 and Sevdari, Kristian;
  • Item type:Conference or Workshop Item(Paper)
    ID code:89921
    Dates:
    Date
    Event
    28 June 2024
    Published
    15 May 2024
    Accepted
    Notes:© 2024 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 > Production of electric energy or power
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:11 Jul 2024 15:02
    Last modified:29 Nov 2024 01:29
    URI:https://strathprints.strath.ac.uk/id/eprint/89921
CORE (COnnecting REpositories)