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Probabilistic Method to Assess the Impact of Charging of Electric Vehicles on Distribution Grids

Authors: Eduardo Valsera-Naranjo; Andreas Sumper; Roberto Villafafila-Robles; David Martínez-Vicente;

Probabilistic Method to Assess the Impact of Charging of Electric Vehicles on Distribution Grids

Abstract

This paper describes a grid impact analysis of charging electric vehicles (EV) using charging curves with detailed battery modelling. A probabilistic method using Monte Carlo was applied to a typical Spanish distribution grid, also using mobility patterns of Barcelona. To carry out this analysis, firstly, an IEEE test system was adapted to a typical distribution grid configuration; secondly, the EV and its battery types were modeled taking into account the current vehicle market and the battery characteristics; and, finally, the recharge control strategies were taken into account. Once these main features were established, a statistical probabilistic model for the household electrical demand and for the EV charging parameters was determined. Finally, with these probabilistic models, the Monte Carlo analysis was performed within the established scenario in order to study the lines’ and the transformers’ loading levels. The results show that an accurate model for the battery gives a more precise estimation about the impact on the grid. Additionally, mobility patterns have been proved to be some of the most important key aspects for these type of studies.

Country
Spain
Keywords

Technology, Electric vehicles, electrical vehicles, Àrees temàtiques de la UPC::Energies::Energia elèctrica, impact study, distribution grids, T, :Energies::Energia elèctrica [Àrees temàtiques de la UPC], electrical vehicles; distribution grids; impact study, Vehicles elèctrics, jel: jel:Q40, jel: jel:Q, jel: jel:Q43, jel: jel:Q42, jel: jel:Q41, jel: jel:Q48, jel: jel:Q47, jel: jel:Q49, jel: jel:Q0, jel: jel:Q4

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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29
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