Genetic Algorithm to Solve Electrical Network Problems

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dc.contributor.authorAkbal, Bahadır
dc.contributor.authorÜrkmez, Abdullah
dc.date.accessioned2020-03-26T18:42:03Z
dc.date.available2020-03-26T18:42:03Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description10th International Conference on Electronics, Computer and Computation (ICECCO) -- NOV 07-09, 2013 -- Turgut Ozal Univ, Ankara, TURKEYen_US
dc.description.abstractSome events which occur due to loads affect the electrical networks. These events can be sorted as overvoltage, short circuit, voltage drop, and power loss. Short circuit, voltage drop and power loss are related to the parameters of the power line which belongs to the electrical network, and overvoltage is related to parallel resonance. System impedance increases extremely during parallel resonance. If current of system (50Hz) or harmonic currents encounter high impedance, overvoltage occurs. In this study, parameters and parallel resonance power of the power line were estimated by using Genetic Algorithm (GA). If parallel resonance power is determined accurately, it isn't exceeded by load capacitor power, and parallel resonance doesn't occur. It was seen at the end of experimental results that estimation accuracy rate (EAR) of GA is adequate to solve these problems.en_US
dc.description.sponsorshipInst Elect & Elect Engineersen_US
dc.identifier.endpage238en_US
dc.identifier.isbn978-1-4799-3343-3
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage235en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29541
dc.identifier.wosWOS:000336616500060en_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, COMPUTER AND COMPUTATION (ICECCO)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAccuracy rateen_US
dc.subjectGAen_US
dc.subjectParameter Estimationen_US
dc.subjectParallel Resonanceen_US
dc.subjectParallel Resonance Power Estimationen_US
dc.titleGenetic Algorithm to Solve Electrical Network Problemsen_US
dc.typeConference Objecten_US

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