DocumentCode :
1642813
Title :
Impacts of Stochastic Residential Plug-In Electric Vehicle Charging on Distribution Grid
Author :
Yunus, K.J. ; Reza, M. ; Zelaya-De La Parra, H. ; Srivastava, K.
Author_Institution :
ABB Corp. Res., Vasteras, Sweden
fYear :
2012
Firstpage :
1
Lastpage :
8
Abstract :
In this paper, the impacts of residential Plug-In Electric Vehicles (PEVs) charging on a distribution grid are investigated. A stochastic charging model is developed and used to study the impacts on distribution transformer loading, hotspot temperature variation and Accelerated Aging Factor (AAF) of the transformer. Different penetration levels of PEVs are considered in a typical distribution system. Furthermore, distribution of State of Charge (SOC) is discussed which can be used to optimize battery capacity and required charging infrastructure. Distribution of parking time interval is also discussed which can be used to evaluate availability of PEVs for overnight charging. The merit of stochastic approach compared with deterministic approach is also illustrated. The main contribution of this paper is the stochastic approach to evaluate the impact of residential PEV charging on the distribution grid.
Keywords :
battery chargers; electric vehicles; power grids; power transformers; stochastic processes; accelerated aging factor; battery capacity optimization; charging infrastructure; deterministic approach; distribution grid; distribution of state of charge; distribution transformer loading; hotspot temperature variation; overnight charging; parking time interval; penetration levels; residential plug-in electric vehicle; stochastic charging model; typical distribution system; Batteries; Energy consumption; Load modeling; Loading; Oil insulation; System-on-a-chip; Vehicles; AAF; PEVs; SOC; charging interval; distribution grid; hotspot temperature; parking interval; probabilistic distribution; residential charging; stochastic; transformer loading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-2158-8
Type :
conf
DOI :
10.1109/ISGT.2012.6175691
Filename :
6175691
Link To Document :
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