• DocumentCode
    713431
  • Title

    Plug-in electric vehicle collaborative charging for current unbalance minimization: Ant system optimization application

  • Author

    Fernandez, Julian A. ; Bacha, Seddik ; Riu, Delphine ; Hably, Ahmad

  • Author_Institution
    Gipsa-Lab., Grenoble-INP, Grenoble, France
  • fYear
    2015
  • fDate
    17-19 March 2015
  • Firstpage
    2686
  • Lastpage
    2691
  • Abstract
    Plug-in electric vehicles (PEVs) are one of the solutions to reduce transportation dependency on oil. Nevertheless, uncoordinated charging in distribution low voltage (LV) networks can lead to local grid problems such as current unbalance and consequently voltage unbalance. In this paper, a combinatorial method based on Ant System (AS) optimization is proposed in order to minimize the current unbalance factor (CUF) by controlling the connection and disconnection of PEVs. The CUF is generated by PHEVs and neighboring residential loads. In addition a simulation environment is implemented to validate the performance of the AS method by benchmarking it against an Exhaustive Search approach. Results show that AS method gives satisfactory optimal solutions reducing the computation cost for scenarios having several hundred of PEVs.
  • Keywords
    ant colony optimisation; combinatorial mathematics; cost reduction; distribution networks; electric vehicles; minimisation; power grids; search problems; AS optimization; CUF minimization; PEV; ant system optimization application; combinatorial method; computation cost reduction; current unbalance factor minimization; distribution LV network; distribution low voltage network; exhaustive search approach; local grid problem; plug-in electric vehicle collaborative charging; Benchmark testing; Charging stations; Electric vehicles; Integrated circuits; Minimization; Optimization; Search problems; Ant System; current unbalance; plug-in electric vehicles; stochastic combinatorial optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2015 IEEE International Conference on
  • Conference_Location
    Seville
  • Type

    conf

  • DOI
    10.1109/ICIT.2015.7125494
  • Filename
    7125494