Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications
Electric 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;...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-231622023-05-29T14:38:06Z Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications Kumar K. Tiwari R. Babu N.R. Padmanaban S. Bhaskar M.S. Ramachandaramurthy V.K. 57194220612 57189686261 57194239794 18134802000 56229894300 6602912020 Electric 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 converters A 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. Final 2023-05-29T06:38:06Z 2023-05-29T06:38:06Z 2017 Conference Paper 10.1109/CENCON.2017.8262501 2-s2.0-85049216002 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049216002&doi=10.1109%2fCENCON.2017.8262501&partnerID=40&md5=3cf13e22a56dd74544a484bc865f9062 https://irepository.uniten.edu.my/handle/123456789/23162 2018-January 294 299 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Electric 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 converters |
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57194220612 |
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57194220612 Kumar K. Tiwari R. Babu N.R. Padmanaban S. Bhaskar M.S. Ramachandaramurthy V.K. |
| format |
Conference Paper |
| author |
Kumar K. Tiwari R. Babu N.R. Padmanaban S. Bhaskar M.S. Ramachandaramurthy V.K. |
| spellingShingle |
Kumar K. Tiwari R. Babu N.R. Padmanaban S. Bhaskar M.S. Ramachandaramurthy V.K. Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications |
| author_sort |
Kumar K. |
| title |
Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications |
| title_short |
Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications |
| title_full |
Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications |
| title_fullStr |
Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications |
| title_full_unstemmed |
Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications |
| title_sort |
analysis of high voltage-gain hybrid dc-dc power converter with rbfn based mppt for renewable photovoltaic applications |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
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1806424034562277376 |
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13.214268 |