• DocumentCode
    1759913
  • Title

    Randomized PHEV Charging Under Distribution Grid Constraints

  • Author

    Kan Zhou ; Lin Cai

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
  • Volume
    5
  • Issue
    2
  • fYear
    2014
  • fDate
    41699
  • Firstpage
    879
  • Lastpage
    887
  • Abstract
    Plug-in Hybrid Electrical Vehicles (PHEV) are promising to improve energy efficiency and environment friendliness. However, without proper control, their charging will cause harmful impact on the power distribution grid, including load congestion and voltage drop. Instead of using centralized optimization which may need accurate predictions on key parameters, in this paper, a new decentralized random access framework is introduced to schedule the PHEV charging. The proposed distributed solution does not need accurate predictions and can be executed online. Simulation on a semi-urban residential medium voltage grid shows that our algorithm can effectively provide demand response to protect the distribution grid from bus congestion and voltage drop, and also improve its efficiency. Most importantly, this algorithm is simple to deploy.
  • Keywords
    hybrid electric vehicles; multivariable systems; power distribution control; power generation scheduling; smart power grids; PHEV charging scheduling; bus congestion; centralized optimization; decentralized random access framework; demand response; load congestion; plug-in hybrid electrical Vehicles; power distribution grid; randomized PHEV charging; semiurban residential medium voltage grid; voltage drop; Delays; Load management; Load modeling; Medium voltage; Optimization; Prediction algorithms; Vehicles; Decentralized/randomized PHEV charging; demand response; distribution grid; smart grid;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2013.2293733
  • Filename
    6734729