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Predicting Electric Vehicle impacts on residential distribution networks with distributed generation

Predicting Electric Vehicle impacts on residential distribution networks with distributed generation

Papadopoulos, P., Skarvelis-Kazakos, S., Grau, I., Cipcigan, L.M. and Jenkins, N. (2011) Predicting Electric Vehicle impacts on residential distribution networks with distributed generation. In: 2010 IEEE Vehicle Power and Propulsion Conference. IEEE Conference Publications . Institute of Electrical and Electronics Engineers, Inc., Piscataway, N.J., USA. ISBN 978-1-4244-8220-7 (doi:10.1109/VPPC.2010.5729009)

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Abstract

Battery charging of Electric Vehicles (EVs) will increase the power demand in distribution networks. It is anticipated that this will cause voltage drops, thermal overloads and an increase in losses. These impacts will be affected by the behaviour of the owners of EVs. A typical 3-phase LV residential distribution network model is used to evaluate the effects of EV battery charging on distribution networks with Distributed Generation (DG). The uncertainties associated with the ownership of EVs, the rating of charging equipment, the occurrence and the duration of charging, together with the spatial distribution uncertainties of DG installation, were addressed with a probabilistic approach. A case study was performed for the year 2030, considering three EV and two DG penetration levels. A control function which reschedules EV battery charging was defined based on customer preferences and distribution network constraints. Thermal overloads, voltage drops, and losses associated with each case were reported. The effects of the coordinated EV battery charging on these impacts were analysed.

Item Type: Conference Proceedings
Title of Proceedings: 2010 IEEE Vehicle Power and Propulsion Conference
Additional Information: [1] This paper was originally presented at the 2010 IEEE Vehicle Power and Propulsion Conference (VPPC) held from 1-3 September 2010 in Lille, France.
Uncontrolled Keywords: distributed generation, distribution networks, electric vehicles, smart charging, stochastic simulation, battery charging, probabilistic approach, residential distribution networks, spatial distribution uncertainties, thermal overloads, voltage drops
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/9049

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