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Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications

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dc.citedby6
dc.contributor.authorKumar K.en_US
dc.contributor.authorTiwari R.en_US
dc.contributor.authorBabu N.R.en_US
dc.contributor.authorPadmanaban S.en_US
dc.contributor.authorBhaskar M.S.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorid57194220612en_US
dc.contributor.authorid57189686261en_US
dc.contributor.authorid57194239794en_US
dc.contributor.authorid18134802000en_US
dc.contributor.authorid56229894300en_US
dc.contributor.authorid6602912020en_US
dc.date.accessioned2023-05-29T06:38:06Z
dc.date.available2023-05-29T06:38:06Z
dc.date.issued2017
dc.descriptionElectric inverters; Energy conversion; Gain measurement; HVDC power transmission; Maximum power point trackers; Natural resources; Neural networks; Renewable energy resources; DC-DC Boost Converterr; High voltage gain; Maximum power; Photovoltaic; Photovoltaic applications; Renewable energy source; Voltage gain; Voltage levels; DC-DC convertersen_US
dc.description.abstractA hybrid high voltage-gain DC-DC power converter is presented to the renewable photovoltaic (PV) application. The extraction of maximum power and power electronics conversion from small voltage Renewable Energy Sources (RES) to a required voltage level is the main function of DC-DC converters. The traditional Boost and self lift Cuk converters are hybridized by sharing single switch, for obtaining the high voltage gain. The artificial neural network based MPPT is considered to take out extreme power from the Renewable Energy Sources (RES). The proposed hybrid DC-DC converter is compared to the hybrid Boost and Cuk converter along with the MPPT technique. Simulation outcome is presented to verify the concept of the proposed converter. � 2017 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/CENCON.2017.8262501
dc.identifier.epage299
dc.identifier.scopus2-s2.0-85049216002
dc.identifier.spage294
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049216002&doi=10.1109%2fCENCON.2017.8262501&partnerID=40&md5=3cf13e22a56dd74544a484bc865f9062
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23162
dc.identifier.volume2018-January
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2017 IEEE Conference on Energy Conversion, CENCON 2017
dc.titleAnalysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applicationsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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