Title :
Probabilistic modeling of PHEV charging load in distribution systems
Author :
Shaaban, Mostafa F. ; El-Saadany, Ehab F.
Author_Institution :
Dept. of ECE, Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
This paper proposes an annual probabilistic model for the energy consumed by a fleet of plug-in hybrid electric vehicles (PHEV) based on Monte Carlo simulation (MCS). This model presents the PHEV charging load scenarios and their probabilities for each hour of the year, which can be easily combined with the normal load models. This facilitates the utilization of this model by local distribution companies to quantify the impacts of PHEV charging on their systems and to define the penetration limit of PHEV in each territory.
Keywords :
Monte Carlo methods; distribution networks; hybrid electric vehicles; MCS; Monte Carlo simulation; PHEV charging load; distribution systems; normal load models; plug-in hybrid electric vehicles; probabilistic modeling; Batteries; Business; Education; IP networks; Electric vehicles; Emissions; Monte Carlo methods; Probability density function;
Conference_Titel :
Electric Power and Energy Conversion Systems (EPECS), 2013 3rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4799-0687-1
DOI :
10.1109/EPECS.2013.6712981