Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Integrating Smart Meter and Electric Vehicle Charging Data to Predict Distribution Network Impacts

Lookup NU author(s): Dr Myriam Neaimeh, Dr Graeme Hill, Professor Phil BlytheORCiD, Dr Robin WardleORCiD, Dr Jialiang Yi, Professor Phil Taylor

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

The North East of England is hosting two internationally leading trials of electric vehicles (EVs) and smart grid applications. These trials are enabling the region to be pioneering in the understanding of the practical use and deployment of low carbon technologies (LCTs) and their impact on UK electrical power networks. This paper describes a significant integration of these large scale trials, whereby EV charging behaviour data, household electricity demand patterns, and models of trial distribution networks are brought together in a unique study of the effect of all-electric vehicles on rural and urban distribution networks.


Publication metadata

Author(s): Neaimeh M, Hill GA, Blythe P, Wardle R, Yi J, Taylor PC

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 4th European Innovative Smart Grid Technologies (ISGT) Conference.

Year of Conference: 2013

Pages: 1-5

Publisher: IEEE

URL: http://dx.doi.org/10.1109/ISGTEurope.2013.6695238

DOI: 10.1109/ISGTEurope.2013.6695238

Library holdings: Search Newcastle University Library for this item

ISBN: 9781479929849


Share