Publication:
Towards Wind Energy-based Charging Stations: A Review of Optimization Methods

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dc.citedby0
dc.contributor.authorAlhasan A.M.W.en_US
dc.contributor.authorUmar D.A.en_US
dc.contributor.authorAlkawsi G.en_US
dc.contributor.authorAlkahtani A.A.en_US
dc.contributor.authorAlomari M.A.en_US
dc.contributor.authorAris H.en_US
dc.contributor.authorid57855369600en_US
dc.contributor.authorid57218304981en_US
dc.contributor.authorid57191982354en_US
dc.contributor.authorid55646765500en_US
dc.contributor.authorid55627877302en_US
dc.contributor.authorid13608397500en_US
dc.date.accessioned2024-10-14T03:17:51Z
dc.date.available2024-10-14T03:17:51Z
dc.date.issued2023
dc.description.abstractDue to the growing importance of renewable sources in sustainable energy systems, the strategic deployment of robust optimization techniques plays a crucial role in the design of Electric Vehicle Charging Stations (EVCSs). These stations need to smoothly incorporate renewable sources, ensuring optimal energy utilization. This study provides a comprehensive overview of the methodologies and approaches employed in the enhancement of wind energy based EVCSs. The aim is to discern the most efficacious techniques for optimizing charging stations. Researchers engage diverse strategies and methodologies in the realm of sizing and optimization, encompassing a spectrum of algorithmic implementations and software solutions. Evidently, each algorithm or software application bears distinctive merits and demerits. Singular reliance on a solitary algorithm or software for charging utility optimization is discerned to be potentially limiting. The investigation reveals that achieving better results in Electric Vehicle Charging Station (EVCS) optimization is facilitated by the collaborative use of multiple algorithms like GA, PSO, and ACO, among others, or software tools like Homer or RETScreen. � 2023 NSP Natural Sciences Publishing Cor.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo10
dc.identifier.doi10.18576/isl/120909
dc.identifier.epage3023
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85172373840
dc.identifier.spage3013
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85172373840&doi=10.18576%2fisl%2f120909&partnerID=40&md5=66070cf569038f4c87d0776e74357463
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34069
dc.identifier.volume12
dc.pagecount10
dc.publisherNatural Sciences Publishingen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofBronze Open Access
dc.sourceScopus
dc.sourcetitleInformation Sciences Letters
dc.subjectcharging station
dc.subjectelectric vehicle
dc.subjectoptimization
dc.subjectsizing
dc.subjectwind energy
dc.titleTowards Wind Energy-based Charging Stations: A Review of Optimization Methodsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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