A Distributed Smart Pev Charging Algorithm Based on Forecasted Mobility Energy Demand
| dc.authorscopusid | 25928490800 | |
| dc.authorscopusid | 57189290485 | |
| dc.authorscopusid | 23389385100 | |
| dc.contributor.author | Kisacikoglu,M.C. | |
| dc.contributor.author | Erden,F. | |
| dc.contributor.author | Erdogan,N. | |
| dc.contributor.other | Department of Electrical & Electronics Engineering | |
| dc.date.accessioned | 2024-07-05T15:44:45Z | |
| dc.date.available | 2024-07-05T15:44:45Z | |
| dc.date.issued | 2017 | |
| dc.department | Atılım University | en_US |
| dc.department-temp | Kisacikoglu 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 States | en_US |
| dc.description | IEEE Signal Processing Society; The Institute of Electrical and Electronics Engineers | 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. © 2016 IEEE. | en_US |
| dc.identifier.citationcount | 1 | |
| dc.identifier.doi | 10.1109/GlobalSIP.2016.7905975 | |
| dc.identifier.endpage | 915 | en_US |
| dc.identifier.isbn | 978-150904545-7 | |
| dc.identifier.scopus | 2-s2.0-85019250606 | |
| dc.identifier.startpage | 911 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/GlobalSIP.2016.7905975 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/3821 | |
| dc.institutionauthor | Erden, Fatih | |
| dc.institutionauthor | Erdoğan, Nuh | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2016 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 -- 127445 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 1 | |
| dc.subject | Distributed control | en_US |
| dc.subject | Grid integration | en_US |
| dc.subject | Peak shaving | en_US |
| dc.subject | Plug-in electric vehicle | en_US |
| dc.subject | Smart charging | en_US |
| dc.title | A Distributed Smart Pev Charging Algorithm Based on Forecasted Mobility Energy Demand | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
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