LAPSE:2023.3760v1
Published Article
LAPSE:2023.3760v1
Hosting Capacity of Electric Vehicles on LV/MV Distribution Grids—A New Methodology Assessment
February 22, 2023
Abstract
The need to evolve cleaner, decentralized, and digitalized energy distribution systems and services includes the electrification of means of transport as Electric Vehicles (EVs) achieve a greater market share. In this context, this work presents and applies, through a case study, the proposal of a new methodology for calculating the hosting capacity of EVs in low- and medium-voltage distribution systems. The proposal of a new methodology that combines deterministic and stochastic methods, while considering several operational criteria, as well as being applicable in both low and medium voltage, shows itself as a more germane and innovate approach. The results obtained demonstrated that the hosting capacity of EVs for the transformers pertinent to the distribution system under study is 100% for more than 50% of the simulations performed. The conductor overload criterion is the main limiting factor, representing 36.69% of violations for the 3.6 kW charger and 52.14% for the 7 kW charger. According to the executed evaluated projections, the distribution system under investigation will posses the capacity to host the growth of EVs in any of the scenarios presented in this study until 2025 for the 3.6 kW charger.
Keywords
distribution grid, electric vehicle, hosting capacity, power quality
Suggested Citation
Carmelito BE, Filho JMDC. Hosting Capacity of Electric Vehicles on LV/MV Distribution Grids—A New Methodology Assessment. (2023). LAPSE:2023.3760v1
Author Affiliations
Carmelito BE: Federal Institute of Education, Science, and Technology of the South of Minas Gerais, Poços de Caldas 37713-100, MG, Brazil [ORCID]
Filho JMDC: Institute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá 37500-903, MG, Brazil [ORCID]
Journal Name
Energies
Volume
16
Issue
3
First Page
1509
Year
2023
Publication Date
2023-02-03
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16031509, Publication Type: Journal Article
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LAPSE:2023.3760v1
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https://doi.org/10.3390/en16031509
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Feb 22, 2023
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