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Optimal Algorithms for Energy Storage Systems in Microgrid Applications: An Analytical Evaluation Towards Future Directions

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dc.citedby6
dc.contributor.authorReza M.S.en_US
dc.contributor.authorRahman N.en_US
dc.contributor.authorWali S.B.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorRahman S.A.en_US
dc.contributor.authorMuttaqi K.M.en_US
dc.contributor.authorid56404260500en_US
dc.contributor.authorid57424276800en_US
dc.contributor.authorid56402940200en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid36609854400en_US
dc.contributor.authorid55582332500en_US
dc.date.accessioned2023-05-29T09:41:56Z
dc.date.available2023-05-29T09:41:56Z
dc.date.issued2022
dc.descriptionElectric energy storage; Analytical evaluation; Bibliometric; Bibliometrics analysis; Carbon emissions; Energy storage system; Microgrid; Microgrid systems; Optimal algorithm; Storage systems; Environmental impacten_US
dc.description.abstractThe optimal algorithm of Energy Storage System (ESS) has gained remarkable attention in developing a microgrid (MG) system to reduce the intensity of carbon emission in the electricity sector and alleviate the environmental impact by 2050. This article provides a historical background and a comprehensive analysis of the optimal algorithm of ESS in MG applications. A brief search has been directed through the Scopus database with some predefined conditions on the last week of January 2021 over 11 years to select the top-cited articles. This bibliometric study is evaluated in this field over the last decades based on the year of publication, interrelation of co- occurrence keywords, articles type, country of origin, journal, and publisher that published the 120 top-cited articles. A sum of 4995 articles was revealed within the year 2010 to 2020 in the field of the optimal algorithm of ESS in MG applications, and the top-most 120 papers were received in total 23003 citations (mean-119.69; median-157.5). Articles having the highest citation revealed in 30 different journals, 27 different regions and 6 different publishers. This bibliometric approach of ESS in MG applications offers the trends of research, gaps of this field, and knowledge essential for further development and advancement in this area. It is predicted that extracting, evaluating, and investigating the top-most cited articles will support further research in the optimal algorithm of ESS in MG applications. � 2022 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ACCESS.2022.3144930
dc.identifier.epage10123
dc.identifier.scopus2-s2.0-85123370769
dc.identifier.spage10105
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85123370769&doi=10.1109%2fACCESS.2022.3144930&partnerID=40&md5=21cb1373726cb0af3a7eb095062b4449
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27272
dc.identifier.volume10
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.titleOptimal Algorithms for Energy Storage Systems in Microgrid Applications: An Analytical Evaluation Towards Future Directionsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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