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Impact of residential charging of electric vehicles on distribution networks, a probabilistic approach

Impact of residential charging of electric vehicles on distribution networks, a probabilistic approach

Papadopoulos, P., Skarvelis-Kazakos, S., Grau, I., Awad, B., Cipcigan, L.M. and Jenkins, N. (2010) Impact of residential charging of electric vehicles on distribution networks, a probabilistic approach. In: 2010 45th International Universities’ Power Engineering Conference. IEEE Conference Publications . Institute of Electrical and Electronics Engineers, Inc., Piscataway, N.J., USA. ISBN 978-1-4244-7667-1

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Abstract

An increase in the penetration level of EVs will increase the power demand in distribution networks. This is due to the charging of the batteries of these vehicles. This may cause thermal overloads, voltage drops and an increase in losses. These impacts will be affected by the behaviour of the owners of EVs. The impacts of EVs on a typical LV network were investigated. A probabilistic approach was used to model uncertainties associated with the ownership of EVs, the rating of charging equipment, charging times, and the duration of charging. Two penetration levels of EVs were used. Typical winter and summer weekdays were examined for each level. Sequential power flows were run for half-hourly time steps for each of the four cases. Thermal overloads, voltage drops, and losses associated with each case were reported.

Item Type: Conference Proceedings
Title of Proceedings: 2010 45th International Universities’ Power Engineering Conference
Additional Information: [1] This paper was originally presented at the 2010 45th International Universities’ Power Engineering Conference (UPEC) held from 31st August-3rd September 2010 in Cardiff, Wales, UK.
Uncontrolled Keywords: battery charging, distribution networks, electric vehicles, stochastic modelling, charging equipment, model uncertainty, probabilistic approach, residential charging, sequential power flows, thermal overloads, voltage drops, battery powered vehicles, load flow, probability
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Engineering Systems
Related URLs:
Last Modified: 14 Oct 2016 09:22
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/9056

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