Probabilistic Assessment of the Impact of Electric Vehicle Fast Charging Stations Integration into MV Distribution Networks Considering Annual and Seasonal Time-Series Data

Electric vehicle (EV) fast charging stations (FCSs) are essential for achieving net-zero carbon emissions. However, their high power demands pose technical hurdles for medium-voltage (MV) distribution networks, resulting in energy losses, equipment performance issues, overheating, and unexpected tri...

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Bibliographic Details
Published in:Energies (Basel) 2024-09, Vol.17 (18), p.4624
Main Authors: Hernández-Gómez, Oscar Mauricio, Abreu Vieira, João Paulo
Format: Article
Language:English
Subjects:
Analysis
annual and seasonal time-series data
Bibliometrics
Electric power distribution
Electric vehicle charging stations
Electric vehicles
electric vehicles (EVs)
Energy consumption
Energy use
fast charging stations (FCSs)
Infrastructure
Literature reviews
medium-voltage (MV) distribution networks
Methods
probabilistic assessment
Probability
Random variables
Seasonal variations
Simulation
Software
Test systems
Time series
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Summary:Electric vehicle (EV) fast charging stations (FCSs) are essential for achieving net-zero carbon emissions. However, their high power demands pose technical hurdles for medium-voltage (MV) distribution networks, resulting in energy losses, equipment performance issues, overheating, and unexpected tripping. Integrating FCSs into the grid requires considering annual and seasonal variations in EV fast-charging energy consumption. Neglecting these variations can lead to either underestimating or overestimating the impacts of FCSs on the networks. This paper introduces a probabilistic method to assess voltage profile violations, overload capacity, and increased power losses due to FCSs. By incorporating annual and seasonal time-series data, the method accounts for uncertainties related to EV fast charging. Applied to an MV feeder in Brazil, our evaluations highlight the impact of annual power consumption seasonality on EV-grid integration studies. Considering seasonal dependency is crucial for precise impact assessments of MV distribution networks. The proposed method aids utility engineers and planners in quantifying and mitigating the effects of EV fast charging, contributing to more reliable MV grid integration strategies.
ISSN:1996-1073
1996-1073
DOI:10.3390/en17184624