Travel activity based stochastic modelling of load and charging state of electric vehicles
Loading...
Access rights
openAccess
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
Date
2021-02-02
Major/Subject
Mcode
Degree programme
Language
en
Pages
14
Series
Sustainability (Switzerland), Volume 13, issue 3
Abstract
The uptake of electric vehicles (EV) is increasing every year and will eventually replace the traditional transport system in the near future. This imminent increase is urging stakeholders to plan up-gradation in the electric power system infrastructure. However, for efficient planning to support an additional load, an accurate assessment of the electric vehicle load and power quality indices is required. Although several EV models to estimate the charging profile and additional electrical load are available, but they are not capable of providing a high-resolution evaluation of charging current, especially at a higher frequency. This paper presents a probabilistic approach capable of estimating the time-dependent charging and harmonic currents for the future EV load. The model is based on the detailed travel activities of the existing car owners reported in the travel survey. The probability distribution functions of departure time, distance, arrival time, and time span are calculated. The charging profiles are based on the measurements of several EVs.Description
Keywords
Activity based modelling, EV charging current, EV load model, Managed charging, SOC, Unmanaged charging
Other note
Citation
Iqbal, M N, Kütt, L, Lehtonen, M, Millar, R J, Püvi, V, Rassõlkin, A & Demidova, G L 2021, ' Travel activity based stochastic modelling of load and charging state of electric vehicles ', Sustainability (Switzerland), vol. 13, no. 3, 1550 . https://doi.org/10.3390/su13031550
