Impact of electric vehicles on LV feeder voltages

Author

Yun Li ; Crossley, Peter A.

Author_Institution

Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK

fYear

2014

fDate

27-31 July 2014

Firstpage

1

Lastpage

5

Abstract

The impact of electric vehicles (EVs) on the voltages seen on a low voltage (LV) feeder are investigated in this paper. The Monte Carlo method was used to understand the impact of diversity of demand on LV feeders and especially the effect of uncontrolled human behavior. A statistical model of an EV was established to generate random high-resolution EV charging demand profiles. Moreover, both the balanced and unbalanced scenarios, with different EV charging locations, were investigated in a simulation study. The results were analyzed and used to illustrate how time of use tariffs can alleviate voltage drops and imbalance.

Keywords

Monte Carlo methods; battery powered vehicles; electric potential; random processes; statistical analysis; tariffs; EV; LV feeder voltage; Monte Carlo method; electric vehicle; low voltage feeder; random high-resolution EV charging demand profile generation; statistical model; tariff; uncontrolled human behavior effect; voltage drop; voltage imbalance; Adaptation models; Batteries; Electricity; Load modeling; Monte Carlo methods; Substations; Monte Carlo methods; Voltage imbalance; demand side response; electric vehicles; low voltage network;

fLanguage

English

Publisher

ieee

Conference_Titel

PES General Meeting | Conference & Exposition, 2014 IEEE

Conference_Location

National Harbor, MD

Type

conf

DOI

10.1109/PESGM.2014.6938961

Filename

6938961