TY - GEN
T1 - Electrical vehicles impact analysis for distribution systems with THD and load profile study
AU - Fernandez, Daniel
AU - Pedraza, Sergio
AU - Celeita, David
AU - Ramos, Gustavo
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/27
Y1 - 2015/7/27
N2 - The aim of this study is to analyze the impact of Plug-in Electrical Vehicles (PEVs) in distribution systems. The research focuses in power quality (THD) and the additional power amount required in the systems due to PEVs, subjects to different penetration scenarios. The methodology proposed consists in modeling the regular electrical vehicles (EVs) behavior pattern based on the 2009's National Household Travel Survey. The general procedure which applies for any distribution system analysis is proposed and assessed in the IEEE 13 nodes test feeder system. The results validation was done with DSSim-PC software in co-simulation with MATLAB. The PEV's drivers behavior was acquired by a previous Monte Carlo simulation. Once this model is defined, the load profile of EVs charger is introduced in the simulation software. This data allows to assign the arrival time and a charging estimated time for each regular user in the distribution system. The proposed methodology could be potentially used as a planning tool for PEVs penetration in existing distribution systems, therefore EVs inclusion studies could be enhanced.
AB - The aim of this study is to analyze the impact of Plug-in Electrical Vehicles (PEVs) in distribution systems. The research focuses in power quality (THD) and the additional power amount required in the systems due to PEVs, subjects to different penetration scenarios. The methodology proposed consists in modeling the regular electrical vehicles (EVs) behavior pattern based on the 2009's National Household Travel Survey. The general procedure which applies for any distribution system analysis is proposed and assessed in the IEEE 13 nodes test feeder system. The results validation was done with DSSim-PC software in co-simulation with MATLAB. The PEV's drivers behavior was acquired by a previous Monte Carlo simulation. Once this model is defined, the load profile of EVs charger is introduced in the simulation software. This data allows to assign the arrival time and a charging estimated time for each regular user in the distribution system. The proposed methodology could be potentially used as a planning tool for PEVs penetration in existing distribution systems, therefore EVs inclusion studies could be enhanced.
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U2 - 10.1109/PEPQA.2015.7168240
DO - 10.1109/PEPQA.2015.7168240
M3 - Conference contribution
AN - SCOPUS:84947559960
T3 - 2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings
BT - 2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015
Y2 - 2 June 2015 through 4 June 2015
ER -
