• DocumentCode
    134878
  • Title

    An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems

  • Author

    Franco, John F. ; Rider, Marcos J. ; Romero, Ruben

  • Author_Institution
    Dept. de Eng. Eletr., UNESP - Univ. Estadual Paulista, Ilha Solteira, Brazil
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new mixed-integer linear programming (MILP) model is proposed to represent the plug-in electric vehicles (PEVs) charging coordination problem in electrical distribution systems. The proposed model defines the optimal charging schedule for each division of the considered period of time that minimizes the total energy costs. Moreover, priority charging criteria is taken into account. The steady-state operation of the electrical distribution system, as well as the PEV batteries charging is mathematically represented; furthermore, constraints related to limits of voltage, current and power generation are included. The proposed mathematical model was applied in an electrical distribution system used in the specialized literature and the results show that the model can be used in the solution of the PEVs charging problem.
  • Keywords
    battery management systems; battery powered vehicles; distributed power generation; integer programming; linear programming; power generation scheduling; MILP model; PEV charging coordination problem; electrical distribution system; mathematical model; mixed integer linear programming model; optimal charging schedule; plug-in electric vehicles; power generation; priority charging criteria; steady-state operation; total energy cost minimization; Batteries; Electric vehicles; Green products; Manganese; Mathematical model; Power generation; Electrical distribution system; mixed integer linear programming; optimal charging; plug-in electric vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939006
  • Filename
    6939006