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dc.contributor.authorAbdel-Basset, Mohamed
dc.contributor.authorMohamed, Reda
dc.contributor.authorMirjalili, Seyedali
dc.contributor.authorChakrabortty, Ripon K
dc.contributor.authorRyan, Michael J
dc.date.accessioned2021-01-06T22:47:07Z
dc.date.available2021-01-06T22:47:07Z
dc.date.issued2020
dc.identifier.issn0038-092Xen_US
dc.identifier.doi10.1016/j.solener.2020.09.032en_US
dc.identifier.urihttp://hdl.handle.net/10072/400739
dc.description.abstractIn this paper, a recent optimization algorithm called Equilibrium Optimizer (EO) is first improved using a linear reduction diversity technique (LRD) and local minima elimination method (MEM). The improved EO (IEO) reduces the diversity of the population until enabling them to get better solutions. This method is centered around improving the particles with the worst fitness values within the population by moving them toward the best-so-far solution as an attempt to increase the convergence toward the near-optimal solution. As a side effect, LRD increases the probability of entrapment into local minima if it could not find a better solution. Therefore, another method known as local minima elimination method (MEM) is used to take the current solution either within the boundaries of two particles selected randomly or within the search boundaries of the problem itself. The extensive comparative experiments demonstrate that the proposed IEO is competitive and often superior compared to recent algorithms. We applied the proposed IEO algorithm to R.T.C France commercial solar cells using a single diode model (SDM), the double diode model (DDM), and three photovoltaic (PV) modules in addition to two commercial ones.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom694en_US
dc.relation.ispartofpageto708en_US
dc.relation.ispartofjournalSolar Energyen_US
dc.relation.ispartofvolume209en_US
dc.subject.fieldofresearchEngineeringen_US
dc.subject.fieldofresearchBuilt Environment and Designen_US
dc.subject.fieldofresearchcode09en_US
dc.subject.fieldofresearchcode12en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsEnergy & Fuelsen_US
dc.subject.keywordsParameter estimationen_US
dc.subject.keywordsPhotovoltaic solar cellsen_US
dc.titleSolar photovoltaic parameter estimation using an improved equilibrium optimizeren_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationAbdel-Basset, M; Mohamed, R; Mirjalili, S; Chakrabortty, RK; Ryan, MJ, Solar photovoltaic parameter estimation using an improved equilibrium optimizer, Solar Energy, 2020, 209, pp. 694-708en_US
dc.date.updated2021-01-06T22:45:27Z
dc.description.versionAccepted Manuscript (AM)en_US
gro.hasfulltextNo Full Text
gro.griffith.authorMirjalili, Seyedali


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