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
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;
Conference_Titel :
Smart Grid Conference (SGC), 2013
Conference_Location :
Tehran
Print_ISBN :
978-1-4799-3039-5
DOI :
10.1109/SGC.2013.6733829