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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