Title :
Examining power grid´s capacity to meet transportation electrification demand
Author :
Darabi, Z. ; Ferdowsi, M.
Author_Institution :
Electr. & Comput. Eng. Dept., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
Plug-in hybrid electric vehicles (PHEVs) are the most promising approach to reducing petroleum use. The penetration of PHEVs is not yet significant; however, they raised a question of whether the existing power system can handle the extra load. Uncertainty arising from various factors such as charging-start time, vehicle type, miles driven, and the existing power grid load profile have motivated researchers to evaluate the impact of PHEVs using probabilistic approaches. The present study develops a model for examining the existing power system capacity to meet the PHEV load demand. The analysis considers PHEV charging as a stochastic event, and it is carried out in a discrete event simulation environment. As case studies, the model is applied to two different regions in the United States.
Keywords :
battery powered vehicles; hybrid electric vehicles; power grids; probability; stochastic processes; transportation; PHEV load demand; United States; plug-in hybrid electric vehicles; power grid capacity; power grid load profile; power system; probabilistic approaches; stochastic event; transportation electrification demand; Load modeling; Power grids; Probabilistic logic; Stochastic processes; Vehicles; Charging demand; event; load profile; maximum generation; outlet; plug-in hybrid electric vehicle; transportation electrification;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345204