== Abstract ==

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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

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secondly, the EV and its battery types were modeled taking into account the current vehicle market and the battery characteristics

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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.

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Document type: Article

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== Full document ==

<pdf>Media:Draft_Content_900845910-beopen838-3704-document.pdf</pdf>

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== Original document ==

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The different versions of the original document can be found in:

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* [http://dx.doi.org/10.3390/en5051503 http://dx.doi.org/10.3390/en5051503] under the license https://creativecommons.org/licenses/by

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* [http://dx.doi.org/10.3390/en5051503 http://dx.doi.org/10.3390/en5051503] under the license http://creativecommons.org/licenses/by/3.0/

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* [http://hdl.handle.net/2117/15898 http://hdl.handle.net/2117/15898] under the license https://creativecommons.org/licenses/by/4.0

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* [https://www.mdpi.com/1996-1073/5/5/1503/pdf https://www.mdpi.com/1996-1073/5/5/1503/pdf] under the license http://creativecommons.org/licenses/by-nc-nd/3.0/es/

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* [http://www.mdpi.com/1996-1073/5/5/1503 http://www.mdpi.com/1996-1073/5/5/1503],

: [https://doaj.org/toc/1996-1073 https://doaj.org/toc/1996-1073] under the license cc-by

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* [http://www.mdpi.com/1996-1073/5/5/1503/pdf http://www.mdpi.com/1996-1073/5/5/1503/pdf],

: [http://dx.doi.org/10.3390/en5051503 http://dx.doi.org/10.3390/en5051503]

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* [http://www.mdpi.com/1996-1073/5/5/1503/pdf http://www.mdpi.com/1996-1073/5/5/1503/pdf],

: [http://www.mdpi.com/1996-1073/5/5/1503 http://www.mdpi.com/1996-1073/5/5/1503] under the license https://creativecommons.org/licenses/by/4.0/

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* [https://www.mdpi.com/1996-1073/5/5/1503 https://www.mdpi.com/1996-1073/5/5/1503],

: [https://ideas.repec.org/a/gam/jeners/v5y2012i5p1503-1531d17829.html https://ideas.repec.org/a/gam/jeners/v5y2012i5p1503-1531d17829.html],

: [https://upcommons.upc.edu/handle/2117/15898 https://upcommons.upc.edu/handle/2117/15898],

: [https://doaj.org/article/b4e5241f27d4423e94373691bce36749 https://doaj.org/article/b4e5241f27d4423e94373691bce36749],

: [https://econpapers.repec.org/RePEc:gam:jeners:v:5:y:2012:i:5:p:1503-1531:d:17829 https://econpapers.repec.org/RePEc:gam:jeners:v:5:y:2012:i:5:p:1503-1531:d:17829],

: [https://academic.microsoft.com/#/detail/2111028722 https://academic.microsoft.com/#/detail/2111028722]

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