Vega-Fuentes, E. and Denai, M. (2019) Enhanced electric vehicle integration in the UK low-voltage networks with distributed phase shifting control. IEEE Access, 7, pp. 46796-46807. (doi: 10.1109/ACCESS.2019.2909990)
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Abstract
Electric vehicles (EV) have gained global attention due to increasing oil prices and rising concerns about transportation-related urban air pollution and climate change. While mass adoption of EVs has several economic and environmental benefits, large-scale deployment of EVs on the low-voltage (LV) urban distribution networks will also result in technical challenges. This paper proposes a simple and easy to implement single-phase EV charging coordination strategy with three-phase network supply, in which chargers connect EVs to the less loaded phase of their feeder at the beginning of the charging process. Hence, network unbalance is mitigated and, as a result, EV hosting capacity is increased. A new concept, called Maximum EV Hosting Capacity (HCmax ) of low voltage distribution networks, is introduced to objectively assess and quantify the enhancement that the proposed phase-shifting strategy could bring to distribution networks. The resulting performance improvement has been demonstrated over three real UK residential networks through a comprehensive Monte Carlo simulation study using Matlab and OpenDSS tools. With the same EV penetration level, the under-voltage probability was reduced in the first network from 100% to 54% and in the second network from 100% to 48%. Furthermore, percentage voltage unbalance factors in the networks were successfully restored to their original values before any EV connection.
Item Type: | Articles |
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Additional Information: | This work was supported by Cátedra Endesa Red from the University of Las Palmas de Gran Canaria. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Vega, Mr Eduardo |
Authors: | Vega-Fuentes, E., and Denai, M. |
College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
Journal Name: | IEEE Access |
Publisher: | IEEE |
ISSN: | 2169-3536 |
ISSN (Online): | 2169-3536 |
Published Online: | 09 April 2019 |
Copyright Holders: | Copyright © 2019 IEEE |
First Published: | First published in IEEE Access 7: 46796-46807 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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