Real-time scheduling of electric vehicles charging in low-voltage residential distribution systems to minimise power losses and improve voltage profile

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 dist...

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Bibliographic Details
Published inIET generation, transmission & distribution Vol. 8; no. 3; pp. 516 - 529
Main Authors Luo, Xiao, Chan, Ka Wing
Format Journal Article
LanguageEnglish
Published Stevenage The Institution of Engineering and Technology 01.03.2014
Institution of Engineering and Technology
The Institution of Engineering & Technology
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ISSN1751-8687
1751-8695
1751-8695
DOI10.1049/iet-gtd.2013.0256

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Summary: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.
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ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2013.0256