Electric vehicle charging sessions generator based on clustered driver behaviors

Research output: Unpublished contribution to conferenceUnpublished paper

Abstract

The increasing penetration rate of electric vehicles (EV) requires the installation of new charge points, which can induce various problems, such as higher peak powers. To address these problems, a well-known approach is to use simulations to assess the impact of uncoordinated charging on a particular
local energy system. Such simulations require EV charging sessions data which are often not (sufficiently) available. This paper proposes a methodology that generates EV charging sessions based on statistical parameters of different type of EV drivers, which have been extracted from historical data via data mining techniques. The results show the great ability of the methodology to generate representative charging profiles for different types of drivers. Additional scenarios are simulated to show the strong impacts of uncoordinated charging for the use case of a hospital.
Original languageEnglish
Publication statusPublished - 13 Jun 2022
EventThe 35th International Electric Vehicle Symposium & Exhibition - Oslo, Norway
Duration: 11 Jun 202215 Jun 2022
https://evs35oslo.org

Conference

ConferenceThe 35th International Electric Vehicle Symposium & Exhibition
Abbreviated titleEVS35
CountryNorway
CityOslo
Period11/06/2215/06/22
Internet address

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