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dc.contributor.authorKabalci Y.
dc.contributor.authorKockanat S.
dc.contributor.authorKabalci E.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2018
dc.identifier.issn0378-7796
dc.identifier.urihttps://dx.doi.org/10.1016/j.epsr.2017.08.019
dc.identifier.urihttps://hdl.handle.net/11480/1737
dc.description.abstractElectrical harmonic is an important issue on power quality of electrical systems. Therefore, estimation of power harmonics are essential to design filters to be utilized in electrical power systems for reducing harmonics and their effects on the electrical power systems. In this study, a power system harmonic estimation solution based on modified artificial bee colony (MABC) algorithm have been proposed. The proposed method in this study is different from other hybrid techniques previously reported ones since estimation processes are mainly focused on decreasing computational complexity and time. In order to provide more accurate and comprehensive estimation results for the proposed method, two different experiments are investigated. Obtained results by the performed experiments showed that the proposed harmonic estimator provides several advantages such as offering very low computational time, more accurate estimation of amplitude and phase values for all conditions and low complexity. © 2017 Elsevier B.V.en_US
dc.language.isoengen_US
dc.publisherElsevier Ltden_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEstimationen_US
dc.subjectHarmonicsen_US
dc.subjectModified artificial bee colony algorithmen_US
dc.titleA modified ABC algorithm approach for power system harmonic estimation problemsen_US
dc.typearticleen_US
dc.relation.journalElectric Power Systems Researchen_US
dc.departmentNiğde ÖHÜen_US
dc.identifier.volume154en_US
dc.identifier.startpage160en_US
dc.identifier.endpage173en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthor[0-Belirlenecek]
dc.identifier.doi10.1016/j.epsr.2017.08.019


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