• DocumentCode
    1771243
  • Title

    Voltage profile and power factor improvement in PHEV charging station using a probabilistic model and flywheel

  • Author

    Niazazari, Iman ; Abyaneh, H. Askarian ; Farah, Mohammad Javad ; Safaei, Farzad ; Nafisi, Hamed

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol. (Tehran Polytech.), Tehran, Iran
  • fYear
    2014
  • fDate
    6-7 May 2014
  • Firstpage
    100
  • Lastpage
    105
  • Abstract
    This paper investigates PHEVs effect on a distributed network while they charge in charging stations. In this paper, voltage profile and power factor improvement are made in the presence of PHEV. PHEV Charge modeling parameters such as battery capacity, PHEV daily traveled distance and PHEV entrance time to charging stations all are probabilistic. Thus, a mathematical probabilistic model for PHEV charging seems to be necessary. In this paper PHEVs charging effect on substations at which PHEV charging stations are located, will be seen. To solve the increasing load demand issue, an objective function with a modified probabilistic PHEV modeling has been developed to acquire the suitable storage equipment to improve voltage profile and power factor of the system. All simulations have been conducted via GAMS software.
  • Keywords
    battery powered vehicles; demand side management; flywheels; hybrid electric vehicles; power factor; probability; substations; GAMS software; PHEV charging effect; PHEV charging station; distributed network; flywheel; load demand; mathematical probabilistic model; power factor improvement; probabilistic PHEV charge modeling parameter; storage equipment; substations; voltage profile improvement; Batteries; Insulated gate bipolar transistors; Real-time systems; Software; Substations; System-on-chip; Battery Capacity; Charging Power; Charging Station; PHEV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power Distribution Networks (EPDC), 2014 19th Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-5635-7
  • Type

    conf

  • DOI
    10.1109/EPDC.2014.6867506
  • Filename
    6867506