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  Accurate and scalable representation of electric vehicles in energy system models: A virtual storage-based aggregation approach

Müßel, J., Ruhnau, O., Madlener, R. (2023): Accurate and scalable representation of electric vehicles in energy system models: A virtual storage-based aggregation approach. - iScience, 26, 10, 107816.
https://doi.org/10.1016/j.isci.2023.107816

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 ???ViewItemFull_lblCreators???:
Müßel, Jarusch1, ???ENUM_CREATORROLE_AUTHOR???           
Ruhnau, Oliver2, ???ENUM_CREATORROLE_AUTHOR???
Madlener, Reinhard2, ???ENUM_CREATORROLE_AUTHOR???
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1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 ???ViewItemFull_lblAbstract???: The growing number of electric vehicles (EVs) will challenge the power system, but EVs may also support system balancing via smart charging. Modeling EVs’ system-level impact while respecting computational constraints requires the aggregation of individual profiles. We show that studies typically rely on too few profiles to accurately model EVs’ system-level impact and that a naïve aggregation of individual profiles leads to an overestimation of the fleet’s flexibility potential. To overcome this problem, we introduce a scalable and accurate aggregation approach based on the idea of modeling deviations from an uncontrolled charging strategy as virtual energy storage. We apply this to a German case study and estimate an average flexibility potential of 6.2 kWh/EV, only 10% of the result of a naïve aggregation. We conclude that our approach allows for a more realistic representation of EVs in energy system models and suggest applying it to other flexible assets.

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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2023-06-082023-08-302023-08-312023-10-20
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 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.1016/j.isci.2023.107816
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???ENUM_IDENTIFIERTYPE_REGIONALK???: Germany
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Economics
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???project_info_title??? : ARIADNE
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???ViewItemFull_lblSourceTitle???: iScience
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus
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???ENUM_IDENTIFIERTYPE_PUBLISHER???: Cell Press
???ENUM_IDENTIFIERTYPE_PUBLISHER???: Elsevier