A Distributed Smart Pev Charging Algorithm Based on Forecasted Mobility Energy Demand

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dc.authorscopusid25928490800
dc.authorscopusid57189290485
dc.authorscopusid23389385100
dc.contributor.authorKisacikoglu,M.C.
dc.contributor.authorErden,F.
dc.contributor.authorErdogan,N.
dc.contributor.otherDepartment of Electrical & Electronics Engineering
dc.date.accessioned2024-07-05T15:44:45Z
dc.date.available2024-07-05T15:44:45Z
dc.date.issued2017
dc.departmentAtılım Universityen_US
dc.department-tempKisacikoglu M.C., Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, 35487, AL, United States; Erden F., Department of Electrical and Electronics Engineering, Atilim University, Ankara, 06836, Turkey; Erdogan N., Department of Electrical and Electronics Engineering, Atilim University, Ankara, 06836, Turkey, Department of Electrical Engineering, University of Texas at Arlington, Arlington, 76010, TX, United Statesen_US
dc.descriptionIEEE Signal Processing Society; The Institute of Electrical and Electronics Engineersen_US
dc.description.abstractThis study proposes a new distributed control strategy for the grid integration of plug-in electric vehicles. The proposed strategy consists of two stages: (i) an offline process to determine an aggregated reference charge power level based on mobility estimation and base load profile, and (ii) a real-time operation based on the distributed control approach. The control algorithm manages PEV charge load profiles in order to flatten the residential distribution transformer loading while ensuring the desired state of the charge (SOC) level. The proposed algorithm is tested on real distribution transformer loading data, and compared with heuristic charging scenarios. The numerical results are presented to demonstrate the impact of the proposed algorithm. © 2016 IEEE.en_US
dc.identifier.citationcount1
dc.identifier.doi10.1109/GlobalSIP.2016.7905975
dc.identifier.endpage915en_US
dc.identifier.isbn978-150904545-7
dc.identifier.scopus2-s2.0-85019250606
dc.identifier.startpage911en_US
dc.identifier.urihttps://doi.org/10.1109/GlobalSIP.2016.7905975
dc.identifier.urihttps://hdl.handle.net/20.500.14411/3821
dc.institutionauthorErden, Fatih
dc.institutionauthorErdoğan, Nuh
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings -- 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 -- 7 December 2016 through 9 December 2016 -- Washington -- 127445en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount1
dc.subjectDistributed controlen_US
dc.subjectGrid integrationen_US
dc.subjectPeak shavingen_US
dc.subjectPlug-in electric vehicleen_US
dc.subjectSmart chargingen_US
dc.titleA Distributed Smart Pev Charging Algorithm Based on Forecasted Mobility Energy Demanden_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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