DocumentCode
2726171
Title
Predicting Electric Vehicle impacts on residential distribution networks with Distributed Generation
Author
Papadopoulos, P. ; Skarvelis-Kazakos, S. ; Grau, I. ; Cipcigan, L.M. ; Jenkins, N.
Author_Institution
Inst. of Energy, Cardiff Univ., Cardiff, UK
fYear
2010
fDate
1-3 Sept. 2010
Firstpage
1
Lastpage
5
Abstract
Battery charging of Electric Vehicles (EVs) will increase the power demand in distribution networks. It is anticipated that this will cause voltage drops, thermal overloads and an increase in losses. These impacts will be affected by the behaviour of the owners of EVs. A typical 3-phase LV residential distribution network model is used to evaluate the effects of EV battery charging on distribution networks with Distributed Generation (DG). The uncertainties associated with the ownership of EVs, the rating of charging equipment, the occurrence and the duration of charging, together with the spatial distribution uncertainties of DG installation, were addressed with a probabilistic approach. A case study was performed for the year 2030, considering three EV and two DG penetration levels. A control function which reschedules EV battery charging was defined based on customer preferences and distribution network constraints. Thermal overloads, voltage drops, and losses associated with each case were reported. The effects of the coordinated EV battery charging on these impacts were analysed.
Keywords
battery powered vehicles; distributed power generation; electric potential; probability; battery charging; distributed generation; electric vehicle; probabilistic approach; residential distribution networks; spatial distribution uncertainties; thermal overloads; voltage drops; Batteries; Biological system modeling; Electric vehicles; Electricity; Loading; Power cables; Uncertainty; Distributed Generation; Distribution Networks; Electric Vehicles; Smart Charging; Stochastic Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE
Conference_Location
Lille
Print_ISBN
978-1-4244-8220-7
Type
conf
DOI
10.1109/VPPC.2010.5729009
Filename
5729009
Link To Document