Determination of capacitance range in the self-excited induction generator through the hybrid genetic algorithms

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dc.contributor.authorTutkun, Nedim
dc.contributor.authorArslan F.
dc.date.accessioned2020-04-30T13:32:18Z
dc.date.available2020-04-30T13:32:18Z
dc.date.issued2010
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description2010 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2010 -- 14 June 2010 through 16 June 2010 -- Pisa -- 81684en_US
dc.description.abstractThe self-excited induction generators (SEIGs) are mainly demanded for generation of electricity in remote areas due to several advantages such as less maintenance, rugged construction etc. The SEIG's excitation is usually supplied from a capacitor bank whose capacitance plays major role in transferring power into the load. Previous investigation has shown that excitation is only possible between minimum and maximum capacitances and the resonant capacitance lies down in this range. Determination of these capacitances involves in a numerical solution of transcendental equations extracted from the steady state equivalent circuit of the SEIG. Although the Newton-Raphson method is extensively used to solve these equations however it is inefficient in most cases. In this paper, the hybrid genetic algorithms (HGA) technique is proposed to solve these equations to obtain necessary capacitance range for excitation under ohmic, inductive and capacitive load conditions. The proposed approach produces meaningful and encouraging outcomes for understanding the SEIG's performance from various aspects. © 2010 IEEE.en_US
dc.identifier.doi10.1109/SPEEDAM.2010.5544789en_US
dc.identifier.endpage1617en_US
dc.identifier.isbn9781424449873
dc.identifier.startpage1613en_US
dc.identifier.urihttps://dx.doi.org/10.1109/SPEEDAM.2010.5544789
dc.identifier.urihttps://hdl.handle.net/20.500.12684/215
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofSPEEDAM 2010 - International Symposium on Power Electronics, Electrical Drives, Automation and Motionen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithms; Induction generators; Newton-Raphson method; Power conversionen_US
dc.titleDetermination of capacitance range in the self-excited induction generator through the hybrid genetic algorithmsen_US
dc.typeConference Objecten_US

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