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    Distributed Consensus Charging for Current Unbalance Reduction


    Liu, Mingming and McNamara, Paul and Shorten, Robert N. and McLoone, Sean F. (2014) Distributed Consensus Charging for Current Unbalance Reduction. Proceedings of the 19th IFAC World Congress, 2014, 19 (1). pp. 3146-3151. ISSN 1474-6670

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    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.

    Item Type: Article
    Additional Information: This is the preprint version of the published paper, which is available at DOI: 10.3182/20140824-6-ZA-1003.01943
    Keywords: Intelligent control of power systems; Smart grids; Modeling and simulation of power systems;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 6828
    Identification Number: https://doi.org/10.3182/20140824-6-ZA-1003.01943
    Depositing User: Sean McLoone
    Date Deposited: 18 Jan 2016 16:25
    Journal or Publication Title: Proceedings of the 19th IFAC World Congress, 2014
    Publisher: International Federation of Automatic Control
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

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