• DocumentCode
    1622412
  • Title

    Plug-in hybrid electric vehicles: Charging load profile extraction based on transportation data

  • Author

    Darabi, Zahra ; Ferdowsi, Mehdi

  • Author_Institution
    Electr. & Comput. Eng. Dept., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Plug-in hybrid electric vehicle (PHEV) technology is one of the most promising solutions for reducing petroleum consumption. A PHEV can be recharged through a plug connected to the electric power grid. Therefore, PHEVs increase the load of the electric power grid. Consequently, there are concerns about their negative impact on power generation, transmission, and distribution installations. PHEV charging load profile (PCLP) is an approach to examine the aggregated impact of PHEVs on the power grid; however developing a PCLP requires some basic data which is not easily available. This paper focuses on the information required for generating a PCLP and proposes answers to three key questions i) when does each vehicle begin to be charged, ii) how much energy is required to charge it, and iii) what level of charge is available. The data obtained from transportation surveys, as sources for the information on vehicles and trips characteristics, are used in this work to extract applicable information which leads to the development of a PCLP.
  • Keywords
    distribution networks; electric power generation; hybrid electric vehicles; petroleum; power grids; transmission networks; PHEV charging load profile; charging load profile extraction; electric power grid; petroleum; plug-in hybrid electric vehicles; power distribution; power generation; power transmission; transportation data; Data mining; Electricity; Power systems; Schedules; System-on-a-chip; Vehicles; Load profile; National household travel survey; Plug-in hybrid electric vehicles; Transportation electrification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039266
  • Filename
    6039266