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

© 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 transformer...

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Main Authors: Jabalameli, N., Masoum, Mohammad Sherkat, Deilami, Sara
Format: Conference Paper
Published: 2018
Online Access:http://hdl.handle.net/20.500.11937/67663
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author Jabalameli, N.
Masoum, Mohammad Sherkat
Deilami, Sara
author_facet Jabalameli, N.
Masoum, Mohammad Sherkat
Deilami, Sara
author_sort Jabalameli, N.
building Curtin Institutional Repository
collection Online Access
description © 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.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-676632018-05-18T08:05:01Z Optimal online charging of plug-in electric vehicles considering voltage unbalance factor Jabalameli, N. Masoum, Mohammad Sherkat Deilami, Sara © 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. 2018 Conference Paper http://hdl.handle.net/20.500.11937/67663 10.1109/PESGM.2017.8274389 restricted
spellingShingle Jabalameli, N.
Masoum, Mohammad Sherkat
Deilami, Sara
Optimal online charging of plug-in electric vehicles considering voltage unbalance factor
title Optimal online charging of plug-in electric vehicles considering voltage unbalance factor
title_full Optimal online charging of plug-in electric vehicles considering voltage unbalance factor
title_fullStr Optimal online charging of plug-in electric vehicles considering voltage unbalance factor
title_full_unstemmed Optimal online charging of plug-in electric vehicles considering voltage unbalance factor
title_short Optimal online charging of plug-in electric vehicles considering voltage unbalance factor
title_sort optimal online charging of plug-in electric vehicles considering voltage unbalance factor
url http://hdl.handle.net/20.500.11937/67663