Travel activity based stochastic modelling of load and charging state of electric vehicles

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openAccess

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Journal Title

Journal ISSN

Volume Title

A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Date

2021-02-02

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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.

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Keywords

Activity based modelling, EV charging current, EV load model, Managed charging, SOC, Unmanaged charging

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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