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Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G

Thomas, Huw; Sun, Hongjian; Kazemtabrizi, Behzad

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Huw Thomas huw.thomas@durham.ac.uk
PGR Student Doctor of Philosophy



Abstract

The uptake of electric vehicles and distributed energy generation is adding significant new demand to distribution networks, however it is unknown whether this can be accommodated by existing infrastructure. This paper first presents an Optimisation approach for determining the maximum penetration of electric vehicles that can be accommodated within a distribution network in conjunction with renewable energy and battery storage. An alternative approach, utilising Network Impact Tokens is then introduced, simplifying the original Optimisation approach while providing accurate results. The electric vehicle hosting capacity of the network is then analysed with increasing penetration of solar generation, battery storage and the use of V2G, showing that distributed generation can increase the the electric vehicle capacity by up to 38%.

Citation

Thomas, H., Sun, H., & Kazemtabrizi, B. (2023). Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G. In 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East). https://doi.org/10.1109/isgtmiddleeast56437.2023.10078520

Conference Name ISGT ME 2023
Conference Location Abu Dhabi, UAE
Start Date Mar 12, 2023
End Date Mar 15, 2023
Acceptance Date Jan 2, 2023
Online Publication Date Mar 28, 2023
Publication Date 2023-03
Deposit Date Feb 6, 2023
Publicly Available Date Mar 28, 2024
Publisher Institute of Electrical and Electronics Engineers
Book Title 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East)
ISBN 9781665465441
DOI https://doi.org/10.1109/isgtmiddleeast56437.2023.10078520
Public URL https://durham-repository.worktribe.com/output/1134632
Additional Information March 12-15

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