• DocumentCode
    725477
  • Title

    A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology

  • Author

    Carlos F, Sabillon A. ; Franco, John F. ; Rider, Marcos J. ; Romero, Ruben

  • Author_Institution
    Dept. Electr. Eng., UNESP, Ilha Solteira, Brazil
  • fYear
    2015
  • fDate
    10-13 June 2015
  • Firstpage
    60
  • Lastpage
    65
  • Abstract
    In this work, a MILP formulation is proposed to solve the optimal charging coordination of electrical vehicles (EVs) and storage devices (SDs) in electrical distribution systems (EDS). EVs with vehicle-to-grid (V2G) technology are also considered. The method defines an optimal charging schedule for SDs and EVs along a day-long time period. The formulation considers the EVs arrival and departure times and their initial state of charge. The initial energy, the expected energy at the end of the time period and the allowed deep of discharge are also considered for the SDs. Additionally, the energy contribution of EVs equipped with V2G technology and distributed generation is taken into account. The presented formulation was tested in a 34-node EDS. The results show the efficiency and robustness of the methodology, and also demonstrate that the model can be used in the real-time solution of the EVs and SDs charging coordination problem in EDS.
  • Keywords
    distributed power generation; electric vehicles; energy storage; integer programming; linear programming; load distribution; power generation scheduling; power grids; EDS; EV optimal charging scheduling; MILP model; SD optimal charging scheduling; V2G technology; distributed generation; electric vehicle optimal charging coordination; electrical distribution system; mixed integer linear programming; storage device optimal charging coordination; vehicle-to-grid technology; Batteries; Electric vehicles; Energy states; Manganese; Mathematical model; Reactive power; Electrical distribution system; electric vehicles; mixed integer linear programming; optimal charging; storage devices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-7992-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2015.7165336
  • Filename
    7165336