DETERMINATION OF THE CONDITIONS OF OPTIMAL OPERATION IN POWER SYSTEMS USING GENETIC ALGORITHM

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dc.contributor.authorÖztürk, Ali
dc.contributor.authorDuman, Serhat
dc.date.accessioned2020-05-01T09:11:21Z
dc.date.available2020-05-01T09:11:21Z
dc.date.issued2009
dc.departmentDÜ, Teknik Eğitim Fakültesi, Elektrik Eğitimi Bölümüen_US
dc.descriptionDuman, Serhat/0000-0002-1091-125Xen_US
dc.descriptionWOS: 000273608400018en_US
dc.description.abstractIn this study, optimum operating conditions in electric power systems are determined by using Genetic Algorithm (GA), which is one of the optimization methods. Main objective of the work is determination of the voltage amplitude values of the load buses that ensure active power losses in transmission line will be minimum. A five-buses system is considered as an example and the operating voltage values of the load buses are calculated for this system using both GA and Newton-Raphson (NR) power flow method. Using these values, Static VAR Compensation (SVC) and reactive power compensation are implemented. Results show that it will be economically and energy-providently if the operating conditions are determined using GA, since the active power loss is minimized.en_US
dc.identifier.endpage548en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue3en_US
dc.identifier.startpage539en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/5534
dc.identifier.volume24en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal Of The Faculty Of Engineering And Architecture Of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithmen_US
dc.subjectpower systemsen_US
dc.subjectreactive power optimizationen_US
dc.subjectnewton-raphsonen_US
dc.subjectstatic var compensatoren_US
dc.titleDETERMINATION OF THE CONDITIONS OF OPTIMAL OPERATION IN POWER SYSTEMS USING GENETIC ALGORITHMen_US
dc.typeArticleen_US

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