PSO and CSA to Estimate of Parameter in Power Line

Basit Öğe Kaydı
dc.contributor.authorAkbal, Bahadir
dc.contributor.authorUrkmez, Abdullah
dc.date.accessioned2020-03-26T18:43:03Z
dc.date.available2020-03-26T18:43:03Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.descriptionInternational Conference on Electronics, Computers and Artificial Intelligence(ECAI) -- JUN 27-29, 2013 -- Univ Pitesti, Pitesti, ROMANIAen_US
dc.description.abstractShort circuits, voltage drop, harmonic distortion and power loss which is factors affect to power quality of power line as negative. Power line parameters affect to values of these factors. Therefore, power line parameters affect the quality of the electrical energy of transmission and distribution lines. Before new load is included to power line, power line parameters must be determined and so adversely effect of these factors can be prevented. In this study, parameters of power line, which will be added new load, were estimated by using clonal selection algorithm (CSA) and particle swarm optimization (PSO). The results of these two methods were compared with real parameter value of power line and accuracy rating of these methods was determined separately. Primarily, harmonic measurement was made from load connection point of power line and was determined parallel resonance impedance to determine power line parameter from the connection point of new load. The obtained parallel resonance impedance from this measurement result was evaluated with CSA and PSO and so power line parameters were tried to estimate. The end of this study, accuracy rate of CSA and accuracy rate of PSO were compared and the algorithm which had the best results was selected.en_US
dc.description.sponsorshipIEEE Region 8, IEEE Ind Applicat Soc, IEEE Romania Sect, Univ Pitesti, Fac Elect Communicatii Calculatoareen_US
dc.identifier.isbn978-1-4673-4937-6
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29760
dc.identifier.wosWOS:000343672500054en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectCSAen_US
dc.subjectharmonic distortionen_US
dc.subjectPSOen_US
dc.subjectparallel resonance impedanceen_US
dc.subjectpower lossen_US
dc.subjectshort circuitsen_US
dc.subjectvoltage dropen_US
dc.titlePSO and CSA to Estimate of Parameter in Power Lineen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu