• DocumentCode
    3213935
  • Title

    Forecasting the PEV owner reaction to the electricity price based on the customer acceptance index

  • Author

    Amini, Mohammad Hossein ; Parsa Moghaddam, Mohsen ; Heydarian Forushani, E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
  • fYear
    2013
  • fDate
    17-18 Dec. 2013
  • Firstpage
    264
  • Lastpage
    267
  • Abstract
    Concerns about the environment and green energy brings a huge development opportunity to plug-in electric vehicles (PEVs). PEVs have an outlook to enhance the functionalities of the power grid. Using PEVs, lets us feed power from the vehicle´s battery packs back to the grid or to pull power from the grid to recharge the batteries. It means that we have a bidirectional flow of power between the vehicle and the grid. PEVs improves the social welfare by reducing the customer costs. The most important point in using a vehicle to grid (V2G) is to evaluate the behavior of the plug-in hybrid electric vehicle (PEV) owners and estimate their acceptance facing the demand side managements programs (DSM). In this paper, a mathematical model is presented for evaluating the reaction of PEV owners in response to electricity price. This method allows the utilities to have a short term scheduling in order to balance the available power and demand utilizing the PEVs.
  • Keywords
    demand side management; hybrid electric vehicles; load flow; mathematical analysis; power grids; pricing; DSM; PEV owner reaction; V2G; bidirectional power flow; customer acceptance index; demand side managements programs; electricity price; green energy; mathematical model; plug-in electric vehicles; power grid; short term scheduling; vehicle battery packs; vehicle to grid; Computer aided instruction; Electricity; Fuels; Indexes; Mathematical model; Smart grids; Vehicles; ARIMA model; Customer Acceptance Index; PEV owners´ Behavior; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Conference (SGC), 2013
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-3039-5
  • Type

    conf

  • DOI
    10.1109/SGC.2013.6733829
  • Filename
    6733829