• DocumentCode
    647698
  • Title

    Electric vehicle charging and grid constraints: Comparing distributed and centralized approaches

  • Author

    de Hoog, Julian ; Thomas, Doreen Anne ; Muenzel, Valentin ; Jayasuriya, Derek C. ; Alpcan, Tansu ; Brazil, Marcus ; Mareels, Iven

  • Author_Institution
    Mech. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The expected rise of electric vehicles will lead to significant additional demand on low voltage (LV) distribution systems. Uncontrolled charging could lead to problems such as thermal overload of transformers and lines, voltage deviation, harmonics, and phase unbalance. We propose two electric vehicle charging algorithms, one centralized and one distributed, and compare their performance in simulations that use real vehicle data, on a model based on a real LV network in northern Melbourne, Australia. Our experiments confirm that the locations of the vehicles in the network are an important factor in predicting adverse effects. Furthermore, our coordinated charging solutions allow penetrations of electric vehicles approximately 3-6 times higher than is possible using uncoordinated charging, in our network.
  • Keywords
    electric vehicles; power grids; Australia; LV network; centralized approaches; distributed approaches; electric vehicle charging algorithms; grid constraints; harmonics; low voltage distribution systems; northern Melbourne; phase unbalance; transformers thermal overload; uncoordinated charging; voltage deviation; Batteries; Data models; Electric vehicles; Load modeling; System-on-chip; Voltage measurement; Centralized control; Distributed control; Electric vehicles; Power system planning; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672222
  • Filename
    6672222