Data-Driven Study of Low Voltage Distribution Grid Behaviour With Increasing Electric Vehicle Penetration
In this paper, the impact of Electric Vehicle (EV) uncontrolled charging with four levels of EV penetration in overall 21 real low voltage distribution grids in two seasons are analysed. The employed real grid data is provided by distribution system operators from three European countries: Austria,...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9667519/ |
| _version_ | 1818977757636329472 |
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| author | Yunhe Yu David Reihs Saumitra Wagh Aditya Shekhar Daniel Stahleder Gautham Ram Chandra Mouli Felix Lehfuss Pavol Bauer |
| author_facet | Yunhe Yu David Reihs Saumitra Wagh Aditya Shekhar Daniel Stahleder Gautham Ram Chandra Mouli Felix Lehfuss Pavol Bauer |
| author_sort | Yunhe Yu |
| collection | DOAJ |
| description | In this paper, the impact of Electric Vehicle (EV) uncontrolled charging with four levels of EV penetration in overall 21 real low voltage distribution grids in two seasons are analysed. The employed real grid data is provided by distribution system operators from three European countries: Austria, Germany and the Netherlands. At least six grids in each country were considered and they are categorised into three types, namely rural grids, suburban grids and urban grids. The EV charging data used in this study is based on real measurements or surveys. The seasonal and the weekday-weekend factors are also considered in the EV charging impact research. Three key congestion indicators, the transformer loading, line loading and node voltage as well as several other evaluation indexes are studied. The results reveal that the majority of the simulated grids had no or minor moments of mild overloading while the rest grids had critical issues. Among all the grids, suburban grids are most vulnerable to massive EV integration. Out of the evaluated grids, those who are located in Germany have the highest redundancy for high EV penetration accommodation. Overall, the impact of uncontrolled EV charging depends on the combination of EV charging demand as well as the grid inherent features. |
| first_indexed | 2024-12-20T16:32:49Z |
| format | Article |
| id | doaj.art-d7ceb4d05e5d426c82d6f8bf12d03776 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T16:32:49Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d7ceb4d05e5d426c82d6f8bf12d037762022-12-21T19:33:13ZengIEEEIEEE Access2169-35362022-01-01106053607010.1109/ACCESS.2021.31401629667519Data-Driven Study of Low Voltage Distribution Grid Behaviour With Increasing Electric Vehicle PenetrationYunhe Yu0https://orcid.org/0000-0002-8732-2648David Reihs1Saumitra Wagh2Aditya Shekhar3https://orcid.org/0000-0002-4179-8747Daniel Stahleder4Gautham Ram Chandra Mouli5https://orcid.org/0000-0003-1997-4959Felix Lehfuss6Pavol Bauer7https://orcid.org/0000-0002-1171-9972Department of Electrical Sustainable Energy, Delft University of Technology, CD Delft, The NetherlandsDepartment of Electric Energy Systems, Austrian Institute of Technology, Vienna, AustriaDepartment of Electrical Sustainable Energy, Delft University of Technology, CD Delft, The NetherlandsDepartment of Electrical Sustainable Energy, Delft University of Technology, CD Delft, The NetherlandsDepartment of Electric Energy Systems, Austrian Institute of Technology, Vienna, AustriaDepartment of Electrical Sustainable Energy, Delft University of Technology, CD Delft, The NetherlandsDepartment of Electric Energy Systems, Austrian Institute of Technology, Vienna, AustriaDepartment of Electrical Sustainable Energy, Delft University of Technology, CD Delft, The NetherlandsIn this paper, the impact of Electric Vehicle (EV) uncontrolled charging with four levels of EV penetration in overall 21 real low voltage distribution grids in two seasons are analysed. The employed real grid data is provided by distribution system operators from three European countries: Austria, Germany and the Netherlands. At least six grids in each country were considered and they are categorised into three types, namely rural grids, suburban grids and urban grids. The EV charging data used in this study is based on real measurements or surveys. The seasonal and the weekday-weekend factors are also considered in the EV charging impact research. Three key congestion indicators, the transformer loading, line loading and node voltage as well as several other evaluation indexes are studied. The results reveal that the majority of the simulated grids had no or minor moments of mild overloading while the rest grids had critical issues. Among all the grids, suburban grids are most vulnerable to massive EV integration. Out of the evaluated grids, those who are located in Germany have the highest redundancy for high EV penetration accommodation. Overall, the impact of uncontrolled EV charging depends on the combination of EV charging demand as well as the grid inherent features.https://ieeexplore.ieee.org/document/9667519/Electric vehicle (EV)low voltage distribution griduncontrolled charging |
| spellingShingle | Yunhe Yu David Reihs Saumitra Wagh Aditya Shekhar Daniel Stahleder Gautham Ram Chandra Mouli Felix Lehfuss Pavol Bauer Data-Driven Study of Low Voltage Distribution Grid Behaviour With Increasing Electric Vehicle Penetration IEEE Access Electric vehicle (EV) low voltage distribution grid uncontrolled charging |
| title | Data-Driven Study of Low Voltage Distribution Grid Behaviour With Increasing Electric Vehicle Penetration |
| title_full | Data-Driven Study of Low Voltage Distribution Grid Behaviour With Increasing Electric Vehicle Penetration |
| title_fullStr | Data-Driven Study of Low Voltage Distribution Grid Behaviour With Increasing Electric Vehicle Penetration |
| title_full_unstemmed | Data-Driven Study of Low Voltage Distribution Grid Behaviour With Increasing Electric Vehicle Penetration |
| title_short | Data-Driven Study of Low Voltage Distribution Grid Behaviour With Increasing Electric Vehicle Penetration |
| title_sort | data driven study of low voltage distribution grid behaviour with increasing electric vehicle penetration |
| topic | Electric vehicle (EV) low voltage distribution grid uncontrolled charging |
| url | https://ieeexplore.ieee.org/document/9667519/ |
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