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Performance assessment of PV energy conversion system with Buck-Boost and Cuk converter for cascaded H-Bridge inverter

Publication Type : Conference Paper

Publisher : Institute of Electrical and Electronics Engineers Inc.

Source : 2016 - Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy, PESTSE 2016, Institute of Electrical and Electronics Engineers Inc. (2016)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983423447&partnerID=40&md5=cd709240606b1be921fad5860a0597ee

ISBN : 9781467366595

Keywords : Bridge circuits, Buk-Boost, Cascaded H-bridge inverters, DC-DC converters, Direct control methods, Electric inverters, Energy conversion, Incremental conductance, Incremental conductance algorithm, MATLAB, Maximum power point trackers, performance assessment, Photovoltaic, Power converters, Pulse width modulation, Total harmonic distortion (THD)

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2016

Abstract : The main aim of the paper describes the analysis, modeling and design of a direct control method using incremental Conductance algorithm along with the constant voltage tracking method for a PV system. In this paper the comparative analysis is also done between Cuk and Buck-Boost converter. The PV integration is done with the multistring cascaded multilevel H-Bridge inverter along with hybrid PWM control at the inverter side for a 3KW output power. The main goal of this paper is to integrate PV system with inverter to a grid with better efficiency and lesser total harmonic distortion (THD) by mainly considering the improvement towards the power quality. The simulation results for this proposed work is achieved using MATLAB.

Cite this Research Publication : V. S. Kirthika Devi and Srivani, S. Gb, “Performance assessment of PV energy conversion system with Buck-Boost and Cuk converter for cascaded H-Bridge inverter”, in 2016 - Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy, PESTSE 2016, 2016.

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