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dc.contributor.authorMasoum, A.
dc.contributor.authorDeilami, Sara
dc.contributor.authorAbu-Siada, Ahmed
dc.contributor.authorMasoum, Mohammad Sherkat
dc.date.accessioned2017-01-30T13:56:57Z
dc.date.available2017-01-30T13:56:57Z
dc.date.created2015-07-27T20:01:17Z
dc.date.issued2015
dc.identifier.citationMasoum, A. and Deilami, S. and Abu-Siada, A. and Masoum, M. 2015. Fuzzy Approach for Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid. IEEE Transactions on Sustainable Energy. 6 (3): pp. 1112-1121.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/36645
dc.identifier.doi10.1109/TSTE.2014.2327640
dc.description.abstract

This paper proposes an online fuzzy coordination algorithm (OL-FCA) for charging plug-in electric vehicles (PEVs) in smart grid networks that will reduce the total cost of energy generation and the associated grid losses while maintaining network operation criteria such as maximum demand and node voltage profiles within their permissible limits. A recently implemented PEV coordination algorithm based on maximum sensitivity selection (MSS) optimization is improved using fuzzy reasoning. The proposed OL-FCA considers random plug-in of vehicles, time-varying market energy prices, and PEV owner preferred charging time zones based on priority selection. Impacts of uncoordinated, MSS, and fuzzy coordinated charging on total cost, gird losses, and voltage profiles are investigated by simulating different PEV penetration levels on a 449-node network with three wind distributed generation (WDG) systems. The main advantage of OL-FCA compared with the MSS PEV coordination is the reduction in the total cost it introduces within the 24h.

dc.publisherThe Institute of Electrical and Electronic Engineers (IEEE)
dc.titleFuzzy Approach for Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid
dc.typeJournal Article
dcterms.source.volume6
dcterms.source.number3
dcterms.source.startPage1112
dcterms.source.endPage1121
dcterms.source.issn1949-3029
dcterms.source.titleIEEE Transactions on Sustainable Energy
curtin.note

Copyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access


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