Adapted Stochastic PV Hosting Capacity Approach for Electric Vehicle Charging Considering Undervoltage

This paper presents a stochastic approach to single-phase and three-phase EV charge hosting capacity for distribution networks. The method includes the two types of uncertainties, aleatory and epistemic, and is developed from an equivalent method that was applied to solar PV hosting capacity estimat...

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Bibliographic Details
Published in:Electricity
Main Authors: Enock Mulenga, Math H. J. Bollen, Nicholas Etherden
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
hosting capacity
Monte Carlo methods
stochastic
uncertainty
undervoltage
electric vehicle
Electricity
QC501-721
Northern Sweden
Online Access:https://doi.org/10.3390/electricity2030023
https://doaj.org/article/23ea59006b814fd482ac1029f0f1eb6b
Description
Summary:This paper presents a stochastic approach to single-phase and three-phase EV charge hosting capacity for distribution networks. The method includes the two types of uncertainties, aleatory and epistemic, and is developed from an equivalent method that was applied to solar PV hosting capacity estimation. The method is applied to two existing low-voltage networks in Northern Sweden, with six and 83 customers. The lowest background voltage and highest consumption per customer are obtained from measurements. It is shown that both have a big impact on the hosting capacity. The hosting capacity also depends strongly on the charging size, within the range of charging size expected in the near future. The large range in hosting capacity found from this study—between 0% and 100% of customers can simultaneously charge their EV car—means that such hosting capacity studies are needed for each individual distribution network. The highest hosting capacity for the illustrative distribution networks was obtained for the 3.7 kW single-phase and 11 kW three-phase EV charging power.

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