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dc.contributor.authorDeilami, Sara
dc.contributor.authorMasoum, Amir
dc.contributor.authorMasoum, Mohammad Sherkat
dc.contributor.authorAbu-Siada, Ahmed
dc.contributor.authorIslam, Syed
dc.contributor.editorWei Deng
dc.date.accessioned2017-01-30T14:57:33Z
dc.date.available2017-01-30T14:57:33Z
dc.date.created2015-07-16T06:22:01Z
dc.date.issued2015
dc.date.submitted2015-07-16
dc.identifier.citationDeilami, S. and Masoum, A. and Masoum, M.S. and Abu-Siada, A. and Islam, S. 2015. Optimal scheduling of LTC and switched shunt capacitors in smart grid concerningovernight charging of Plug-in Electric Vehicles, in Deng, W. (ed), 2014 AASRI International Conference on Applied Engineering Sciences (ICAES 2014), Jul 23-24 2014, pp. 71-76. Los Angeles, USA: CRC Press.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/42135
dc.description.abstract

It is well-known that load variation and nonlinearity have detrimental impacts on the operation and performance of the conventional power systems and future smart grids (SGs) including their voltage profiles, power quality, losses and efficiency particularly during the peak load hours. This paper will perform optimal scheduling of transformer load tap changer (LTC) and switched shunt capacitors (SSCs) in smart grid with nonlinear loads and plug-in electric vehicle (PEV) charging activities to improve voltage profile, reduce grid losses and control the total harmonic distortion (THD). An established genetic algorithm (GA) for the dispatch of LTC/SSC and a recently implemented algorithm based on maximum sensitivity selections (MSS) optimization for coordination of PEVs are used to perform detailed simulations and analyses.

dc.publisherCRC Press
dc.subjectPEV coordination
dc.subjectoptimal dispatch
dc.subjectSmart grid
dc.subjectLTC and switched capacitors
dc.subjectcharging
dc.titleOptimal scheduling of LTC and switched shunt capacitors in smart grid concerningovernight charging of Plug-in Electric Vehicles
dc.typeConference Paper
dcterms.dateSubmitted2015-07-16
dcterms.source.startPage71
dcterms.source.endPage76
dcterms.source.titleApplied Engineering Sciences
dcterms.source.seriesApplied Engineering Sciences
dcterms.source.isbn978-1-138-02649-0
dcterms.source.conference2014 AASRI International Conference on Applied Engineering Sciences (ICAES 2014)
dcterms.source.conferencedatesJul 23 2014
dcterms.source.conferencelocationLos Angeles, USA
dcterms.source.placeLondon UK, CRC Press is part of The Taylor & Francis Group
curtin.digitool.pid227740
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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