Harmonic estimator design using hybrid particle swarm optimization

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dc.contributor.author Kabalcı, Yasin
dc.contributor.author Kockanat, Serdar
dc.contributor.author Kabalcı, Ersan
dc.date.accessioned 2021-08-23T10:47:33Z
dc.date.available 2021-08-23T10:47:33Z
dc.date.issued 2017-11-02
dc.identifier.uri http://hdl.handle.net/20.500.11787/4141
dc.description.abstract The demand for electrical energy is increasing day by day and achieving high quality energy is becoming very important subject. Especially, harmonics occurred in power systems not only reduce the quality of the energy but also cause dangerous situations such as heating and burning. For this reason, the estimation of the amplitude and phase of harmonics plays an important role in the design of electrical systems that will reduce the negative effects of harmonics. In this study, a novel harmonic estimator design for the harmonic estimation problem, which is frequently proposed in the literature, is proposed using hybrid particle swarm optimization (HPSO). The obtained results are compared with those of the proposed studies in literature and the success of the designed HPSO based harmonic estimator is analyzed. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE tr_TR
dc.relation.isversionof 10.1109/IDAP.2017.8090296 tr_TR
dc.rights info:eu-repo/semantics/restrictedAccess tr_TR
dc.subject Power system harmonics tr_TR
dc.subject Harmonic analysis tr_TR
dc.subject Estimation tr_TR
dc.subject Signal processing algorithms tr_TR
dc.subject Particle swarm optimization tr_TR
dc.subject Algorithm design and analysis tr_TR
dc.subject Art tr_TR
dc.title Harmonic estimator design using hybrid particle swarm optimization tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) tr_TR
dc.contributor.department Nevşehir Hacı Bektaş Veli Üniversitesi/mühendislik-mimarlık fakültesi/elektrik-elektronik mühendisliği bölümü/elektrik tesisleri anabilim dalı tr_TR
dc.contributor.authorID 38621 tr_TR


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