Distributed Consensus Charging for Current Unbalance Reduction

Mingming Liu, Paul McNamara, Robert Shorten, Seán McLoone

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Electric Vehicle (EV) technology has developed rapidly in recent years, with the result that increasing levels of EV penetration are expected on electrical grids in the near future. The increasing electricity demand due to EVs is expected to provide many challenges for grid companies, and it is expected that it will be necessary to reinforce the current electrical grid infrastructure to cater for increasing loads at distribution level. However, by harnessing the power of Vehicle to Grid (V2G) technologies, groups of EVs could be harnessed to provide ancillary services to the grid. Current unbalance occurs at distribution level when currents are unbalanced between each of the phases. In this paper a distributed consensus algorithm is used to coordinate EV charging in order to minimise current unbalance. Simulation results demonstrate that the proposed algorithm is effective in rebalancing phase currents.
Original languageEnglish
Title of host publicationWorld Congress
Subtitle of host publicationProceedings of the 19th IFAC World Congress, 2014
EditorsEdward Boje, Xiahou Xia
Place of PublicationCape Town
PublisherInternational Federation of Automatic Control
Pages3146-3151
Number of pages6
Volume19
Edition1
ISBN (Print)978-3-902823-62-5
DOIs
Publication statusPublished - Aug 2014
Event19th World Congress of the International Federation of Automatic Control (IFAC 2014) - Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014

Conference

Conference19th World Congress of the International Federation of Automatic Control (IFAC 2014)
CountrySouth Africa
CityCape Town
Period24/08/201429/08/2014

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  • Cite this

    Liu, M., McNamara, P., Shorten, R., & McLoone, S. (2014). Distributed Consensus Charging for Current Unbalance Reduction. In E. Boje, & X. Xia (Eds.), World Congress: Proceedings of the 19th IFAC World Congress, 2014 (1 ed., Vol. 19, pp. 3146-3151). International Federation of Automatic Control. https://doi.org/10.3182/20140824-6-ZA-1003.01943