Optimal online charging of plug-in electric vehicles considering voltage unbalance factor

Jabalameli, N.; Masoum, Mohammad Sherkat; Deilami, Sara

doi:10.1109/PESGM.2017.8274389

Access Status

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Authors

Jabalameli, N.

Masoum, Mohammad Sherkat

Deilami, Sara

Date

2018

Type

Conference Paper

Metadata

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Citation

Jabalameli, N. and Masoum, M.S. and Deilami, S. 2018. Optimal online charging of plug-in electric vehicles considering voltage unbalance factor, pp. 1-5.

Source Title

IEEE Power and Energy Society General Meeting

DOI

10.1109/PESGM.2017.8274389

ISBN

9781538622124

School

School of Electrical Engineering, Computing and Mathematical Science (EECMS)

URI

http://hdl.handle.net/20.500.11937/67663

Collection

Curtin Research Publications

Abstract

© 2017 IEEE. The worldwide application and grid-to-vehicle charging of plug-in electric vehicles (PEVs) are expected to tremendously grow within the next few years. Uncoordinated PEV charging in low voltage (LV) distribution networks can lead to local grid problems such as overloading of transformers and voltage unbalances. A potential solution and key challenge for PEV integration is the smart shifting of charging activities to off-peak periods. This paper investigates the impacts of single-phase PEV charging at residential houses on the three-phase distribution network. It proposes online coordinated PEV charging using a genetic algorithm (GA) to minimize the overall voltage unbalance factor (VUF) by controlling the time of charging considering voltage constraints. The impacts of uncoordinated and GA coordinated PEV charging on VUF and voltage profiles will be simulated for a real Western Australian distribution network in the Perth solar city.