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

Nasim Jabalameli, Mohammad A. S. Masoum, Sara Deilami

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE Power and Energy Society General Meeting
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-5
Number of pages5
ISBN (Electronic)9781538622124, 9781538622117
ISBN (Print)9781538622131
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States
Duration: 16 Jul 201720 Jul 2017

Publication series

Name
ISSN (Electronic)1944-9933

Conference

Conference2017 IEEE Power and Energy Society General Meeting, PESGM 2017
CountryUnited States
CityChicago
Period16/07/1720/07/17

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