DocumentCode
13713
Title
Real-time scheduling of electric vehicles charging in low-voltage residential distribution systems to minimise power losses and improve voltage profile
Author
Xiao Luo ; Ka Wing Chan
Author_Institution
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
Volume
8
Issue
3
fYear
2014
fDate
Mar-14
Firstpage
516
Lastpage
529
Abstract
Unscheduled charging of plenty of electric vehicles (EVs) might exert an adverse effect on the existing power grid, especially when the charging coincides with daily peak load at distribution level. In this study, a scalable real-time scheduling scheme for EV charging in low-voltage residential distribution system is proposed. Since most often, voltage drop would become a binding constraint when a distribution feeder is subject to a high EV penetration level, a scheduling method is first developed to increase the voltage safety margin. Then, a novel factor is derived to allow the scheduling to shift from voltage-safety-oriented to loss-minimisation-oriented, or vice versa, on demand of the EV penetration level. A number of charging scenarios were simulated to evaluate the proposed scheduling scheme. Simulation results verified that the proposed scheduling scheme is fast and efficient with circuit losses close to optimal at a low EV penetration level and voltage drops maintained within the tolerable limit at a high EV penetration level. The high scalability and effectiveness of the proposed scheme has made it suitable for coordinating large number of EV charging activities in real-time.
Keywords
battery powered vehicles; distribution networks; electric potential; electrical safety; losses; power grids; scheduling; EV charging; binding constraint; circuit loss; distribution feeder; electric vehicle charging; loss-minimisation-oriented; low-voltage residential distribution system; power grid; power losses minimization; scalable real-time scheduling scheme; voltage drop; voltage profile improvement; voltage safety margin; voltage-safety-oriented;
fLanguage
English
Journal_Title
Generation, Transmission & Distribution, IET
Publisher
iet
ISSN
1751-8687
Type
jour
DOI
10.1049/iet-gtd.2013.0256
Filename
6750570
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