The parallel resonance impedance detection method for parameter estimation of power line and transformer by using CSA, GA, and PSO

Basit Öğe Kaydı
dc.contributor.authorAkbal, Bahadir
dc.contributor.authorUrkmez, Abdullah
dc.date.accessioned2020-03-26T19:31:43Z
dc.date.available2020-03-26T19:31:43Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractPower line parameters are an important factor in relay applications and power quality studies. In the literature, the phasor measurement unit method and measuring of current and voltage at two ends of the power line were usually used to estimate the power line parameters. In this study, the parallel resonance impedance detection method was used to estimate the power line parameter to obtain input data. The real measurement values are used to obtain parallel resonance impedance in this method. The real measurement values include the measurement errors of the current and voltage transformer. Thus, the estimated parameter values are realistic. The electrical network with has 27 busbars that belongs to an organized industrial zone in Turkey was used for the application. Harmonic measurement of the power line of the electrical network was made to obtain parallel resonance impedance. The obtained parallel resonance impedance was used in the maximization problem. The maximization problem was defined as the estimated accuracy rate and was solved by using the clonal selection algorithm, genetic algorithm, and particle swarm optimization to make the most realistic parameter estimation. These methods can be defined as parameter estimators and are selected because they are all used widely in electrical engineering problem solutions. The results of these methods were compared with real parameter values, and accuracy of the estimate was determined for each method.en_US
dc.identifier.doi10.3906/elk-1305-114en_US
dc.identifier.endpage23en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issn1303-6203en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage12en_US
dc.identifier.urihttps://dx.doi.org/10.3906/elk-1305-114
dc.identifier.urihttps://hdl.handle.net/20.500.12395/34120
dc.identifier.volume24en_US
dc.identifier.wosWOS:000368559000004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectClonal selection algorithmen_US
dc.subjectelectric networken_US
dc.subjectgenetic algorithmen_US
dc.subjectparticle swarm optimizationen_US
dc.subjectparallel resonance impedanceen_US
dc.subjectparameter estimationen_US
dc.subjectpower lineen_US
dc.titleThe parallel resonance impedance detection method for parameter estimation of power line and transformer by using CSA, GA, and PSOen_US
dc.typeArticleen_US

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WoS İndeksli Yayınlar Koleksiyonu
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