• DocumentCode
    3270469
  • Title

    Smart scheduling of PHEVs in PV integrated charging facilities based on DC link voltage sensing

  • Author

    Goli, Preetham ; Shireen, Wajiha

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Houston, Houston, TX, USA
  • fYear
    2015
  • fDate
    14-17 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Coordination and scheduling the charging of plug-in hybrid electric vehicles (PHEVs) in parking lots integrated with photovoltaic (PV) system presents both unique opportunities and challenges. In most of the cases PHEVs are assumed to stay in the parking lot for several hours. To facilitate the maximum usage of PV power, the charging times of PHEVs have to be scheduled to coincide with the periods of high irradiation. In view of this, this paper presents a real-time smart scheduling algorithm (SSA) that uses a set of priority levels and the change in DC link voltage level to schedule the charging of PHEVs in a PV based charging facility. The priority levels are defined based on the arrival time, departure time, the initial state-of-charge and the battery capacity of the PHEVs. The developed SSA is aimed at reducing the overall cost of charging the PHEVs, mitigating their impact on the distribution network and also contributes to peak shaving. In order to validate the proposed SSA, simulations are carried out using the MATLAB/SIMULINK toolbox.
  • Keywords
    battery powered vehicles; hybrid electric vehicles; scheduling; secondary cells; solar cells; DC link voltage sensing; PHEV smart charging scheduling algorithm; PV integrated charging facility; SSA algorithm; battery state-of-charge; distribution network; photovoltaic system; plug-in hybrid electric vehicle battery capacity; Bidirectional control; Load modeling; MATLAB; Mathematical model; Photovoltaic systems; Real-time systems; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Conference and Expo (ITEC), 2015 IEEE
  • Conference_Location
    Dearborn, MI
  • Type

    conf

  • DOI
    10.1109/ITEC.2015.7165770
  • Filename
    7165770