DocumentCode :
3384056
Title :
Controlled charging of electric vehicles in residential distribution networks
Author :
O´Connell, Alison ; Flynn, Damian ; Richardson, Paul ; Keane, Andrew
Author_Institution :
Sch. of Electr., Electron. & Commun. Eng., Univ. Coll. Dublin, Dublin, Ireland
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
1
Lastpage :
7
Abstract :
The integration of electric vehicles (EVs) poses potential issues for low voltage (LV) distribution networks, such as voltage deviations and overloading of equipment. Controlled EV charging is seen as one possibility for reducing, or even eliminating, these issues. This work presents an optimisation method which focuses on controlling the rate at which EVs charge over a 24-hour time horizon, subject to certain constraints. A sample distribution network is used and the optimisation tool is tested for multiple objective functions.
Keywords :
battery powered vehicles; distribution networks; optimisation; 24-hour time horizon; EV; LV distribution network; electric vehicle charging control; low voltage distribution networks; multiple objective functions; optimisation tool; residential distribution networks; sample distribution network; voltage deviations; Educational institutions; Linear programming; Load modeling; Optimization; Sensitivity; Voltage control; Wind forecasting; Electric Vehicle; Load Flow; Optimisation; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
Conference_Location :
Berlin
ISSN :
2165-4816
Print_ISBN :
978-1-4673-2595-0
Electronic_ISBN :
2165-4816
Type :
conf
DOI :
10.1109/ISGTEurope.2012.6465676
Filename :
6465676
Link To Document :
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