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

dc.authorid Erden, Fatih/0000-0002-1708-3063
dc.authorid Erdogan, Nuh/0000-0003-1621-2748
dc.authorwosid Erdogan, Nuh/GRS-9451-2022
dc.authorwosid Kisacikoglu, Mithat/AAU-1021-2020
dc.authorwosid Erden, Fatih/B-3968-2015
dc.contributor.author Kisacikoglu, Mithat C.
dc.contributor.author Erden, Faith
dc.contributor.author Erdogan, Nuh
dc.contributor.other Department of Electrical & Electronics Engineering
dc.date.accessioned 2024-10-06T11:12:12Z
dc.date.available 2024-10-06T11:12:12Z
dc.date.issued 2016
dc.department Atılım University en_US
dc.department-temp [Kisacikoglu, Mithat C.] Univ Alabama, Dept Elect & Comp Engn, Tuscaloosa, AL 35487 USA; [Erden, Faith; Erdogan, Nuh] Atilim Univ, Dept Elect & Elect Engn, TR-06836 Ankara, Turkey; [Erdogan, Nuh] Univ Texas Arlington, Dept Elect Engn, Arlington, TX 76010 USA en_US
dc.description Erden, Fatih/0000-0002-1708-3063; Erdogan, Nuh/0000-0003-1621-2748 en_US
dc.description.abstract This 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. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 0
dc.identifier.endpage 915 en_US
dc.identifier.isbn 9781509045457
dc.identifier.issn 2376-4066
dc.identifier.startpage 911 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14411/9122
dc.identifier.wos WOS:000672803000185
dc.institutionauthor Erdoğan, Nuh
dc.language.iso en en_US
dc.publisher Ieee en_US
dc.relation.ispartof IEEE Global Conference on Signal and Information Processing (GlobalSIP) -- DEC 07-09, 2016 -- Washington, DC en_US
dc.relation.ispartofseries IEEE Global Conference on Signal and Information Processing
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Plug-in electric vehicle en_US
dc.subject grid integration en_US
dc.subject peak shaving en_US
dc.subject smart charging en_US
dc.subject distributed control en_US
dc.title A Distributed Smart Pev Charging Algorithm Based on Forecasted Mobility Energy Demand en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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