Load Flow Optimization of 154 kV Malatya Transmission Line Using Differential Evolution Algorithm

dc.authoridKarci, Ali/0000-0002-8489-8617
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridakdağ, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898;
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.authorwosidakdag, ozan/KIC-9241-2024
dc.authorwosidakdag, ozan/KNM-5436-2024
dc.authorwosidOkumuş, Fatih/GWQ-5368-2022
dc.authorwosidakdağ, ozan/GOH-3170-2022
dc.authorwosidakdag, ozan/KIC-8784-2024
dc.contributor.authorAkdag, Ozan
dc.contributor.authorKaradogan, Ismail
dc.contributor.authorOkumus, Fatih
dc.contributor.authorYeroglu, Celaleddin
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:44:10Z
dc.date.available2024-08-04T20:44:10Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractAmplitude, phase angle, active and reactive powers flowing in each busbar of a power system can be seen by performing a load flow analysis. From these data, it is possible to determine the voltage drop, the distribution of the forces, the loading of the equipment and the losses of the related power system. Then, Active power losses can be reduced by making improvements at the points where losses are present in the power system. Power losses can be reduced by reactive power compensation considerably. In this study, Differential Evolution (DE) algorithm is used to determine the values of the capacitor groups to be added to the corresponding busbar to reduce the losses of 154 kV transmission system. The optimum load flow is ensured by optimizing a transmission system with the developed algorithm.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.scopus2-s2.0-85039911752en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/98083
dc.identifier.wosWOS:000426868700102en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 International Artificial Intelligence and Data Processing Symposium (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLoad flowen_US
dc.subjectSimulation of power systemsen_US
dc.subjectEnergy efficiencyen_US
dc.subjectDifferential Evolution Algorithmen_US
dc.titleLoad Flow Optimization of 154 kV Malatya Transmission Line Using Differential Evolution Algorithmen_US
dc.typeConference Objecten_US

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