A novel modified Archimedes optimization algorithm for optimal placement of electric vehicle charging stations in distribution networks

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dc.authoridakdağ, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridNurmuhammed, Mustafa/0000-0002-5957-3255
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authorwosidakdağ, ozan/GOH-3170-2022
dc.authorwosidakdag, ozan/KIC-8784-2024
dc.authorwosidNurmuhammed, Mustafa/ACW-8427-2022
dc.authorwosidakdag, ozan/KNM-5436-2024
dc.authorwosidakdag, ozan/KIC-9241-2024
dc.contributor.authorNurmuhammed, Mustafa
dc.contributor.authorAkdag, Ozan
dc.contributor.authorKaradag, Teoman
dc.date.accessioned2024-08-04T20:54:49Z
dc.date.available2024-08-04T20:54:49Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe number of electric vehicle charging stations (EVCSs) is increasing alongside electric vehicles (EVs). The unplanned rollout of EVCSs can lead to problems such as deterioration of the voltage profile, increased active power losses, and maximum load demand in distribution networks (DNs). Therefore, EVCSs should be placed in optimum locations on the DNs. The complexity of the problem requires efficiency and performance. In this paper, a novel modified Archimedes optimization algorithm (MAOA) is proposed for optimal placement of EVCSs in DNs. Five parameters of the AOA were modified using the Honey Badger Algorithm (HBA). This placement is based on a combination of indexes: power loss, voltage deviation, and voltage stability index (VSI). Next, Newton-Raphson based load flow analysis is used to compute the minimum cost. MAOA, AOA and eight other optimization algorithms are compared. The results provide the most appropriate buses in the DN. The efficiency of the proposed algorithm was tested on IEEE 33, 69, and 10-bus Hatay power network systems. In all test systems, the proposed MAOA provided the best results with consistently low standard deviation values. The results suggest that the proposed method is more effective in the integration of EVCSs into the DN. (c) 2017 Elsevier Inc. All rights reserved.en_US
dc.description.sponsorshipResearch Projects (BAP) Unit [FDK-2023-3163]en_US
dc.description.sponsorshipThis research is supported by Inonu University-the Scientificr Research Projects (BAP) Unit (No. FDK-2023-3163) .en_US
dc.identifier.doi10.1016/j.aej.2023.10.055
dc.identifier.endpage92en_US
dc.identifier.issn1110-0168
dc.identifier.issn2090-2670
dc.identifier.scopus2-s2.0-85176345220en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage81en_US
dc.identifier.urihttps://doi.org/10.1016/j.aej.2023.10.055
dc.identifier.urihttps://hdl.handle.net/11616/101665
dc.identifier.volume84en_US
dc.identifier.wosWOS:001112473100001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofAlexandria Engineering Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectA novel modified Archimedes optimization algorithmen_US
dc.subjectDistribution networken_US
dc.subjectElectric vehicle charging systemsen_US
dc.subjectModeling and load flow analysisen_US
dc.subjectOptimal placement of electric vehicle charging stationsen_US
dc.subjectPlug-in electric vehiclesen_US
dc.titleA novel modified Archimedes optimization algorithm for optimal placement of electric vehicle charging stations in distribution networksen_US
dc.typeArticleen_US

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