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

K. Kumar, Ramji Tiwari, N. Ramesh Babu, Sanjeevikumar Padmanaban, Mahajan Sagar Bhaskar, Vigna Kumaran Ramachandaramurthy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE Conference on Energy Conversion, CENCON 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages294-299
Number of pages6
Volume2018-January
ISBN (Electronic)9781538639344
DOIs
Publication statusPublished - 16 Jan 2018
Event3rd IEEE Conference on Energy Conversion, CENCON 2017 - Kuala Lumpur, Malaysia
Duration: 30 Oct 201731 Oct 2017

Other

Other3rd IEEE Conference on Energy Conversion, CENCON 2017
CountryMalaysia
CityKuala Lumpur
Period30/10/1731/10/17

Fingerprint

Power Converter
DC-DC Converter
DC-DC converters
Voltage
Converter
Renewable Energy
Electric potential
Power Electronics
Artificial Neural Network
Switch
Sharing
Power electronics
Extremes
Verify
Switches
Maximum power point trackers
Neural networks
Simulation

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

Cite this

Kumar, K., Tiwari, R., Babu, N. R., Padmanaban, S., Bhaskar, M. S., & Ramachandaramurthy, V. K. (2018). Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications. In 2017 IEEE Conference on Energy Conversion, CENCON 2017 (Vol. 2018-January, pp. 294-299). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENCON.2017.8262501
Kumar, K. ; Tiwari, Ramji ; Babu, N. Ramesh ; Padmanaban, Sanjeevikumar ; Bhaskar, Mahajan Sagar ; Ramachandaramurthy, Vigna Kumaran. / Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications. 2017 IEEE Conference on Energy Conversion, CENCON 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 294-299
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abstract = "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.",
author = "K. Kumar and Ramji Tiwari and Babu, {N. Ramesh} and Sanjeevikumar Padmanaban and Bhaskar, {Mahajan Sagar} and Ramachandaramurthy, {Vigna Kumaran}",
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Kumar, K, Tiwari, R, Babu, NR, Padmanaban, S, Bhaskar, MS & Ramachandaramurthy, VK 2018, Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications. in 2017 IEEE Conference on Energy Conversion, CENCON 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 294-299, 3rd IEEE Conference on Energy Conversion, CENCON 2017, Kuala Lumpur, Malaysia, 30/10/17. https://doi.org/10.1109/CENCON.2017.8262501

Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications. / Kumar, K.; Tiwari, Ramji; Babu, N. Ramesh; Padmanaban, Sanjeevikumar; Bhaskar, Mahajan Sagar; Ramachandaramurthy, Vigna Kumaran.

2017 IEEE Conference on Energy Conversion, CENCON 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 294-299.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications

AU - Kumar, K.

AU - Tiwari, Ramji

AU - Babu, N. Ramesh

AU - Padmanaban, Sanjeevikumar

AU - Bhaskar, Mahajan Sagar

AU - Ramachandaramurthy, Vigna Kumaran

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N2 - 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.

AB - 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.

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Kumar K, Tiwari R, Babu NR, Padmanaban S, Bhaskar MS, Ramachandaramurthy VK. Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications. In 2017 IEEE Conference on Energy Conversion, CENCON 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 294-299 https://doi.org/10.1109/CENCON.2017.8262501