UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 2
February-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDJ06015


Registration ID:
228130

Page Number

102-107

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Title

HARMONIC MINIMIZATION OF A SOLAR FED CASCADE H-BRIDGE INVERTER USING ARTIFICIAL NEURAL NETWORK

Authors

Abstract

This paper presents a single –phase 11-level (5 H-Bridges) cascaded multilevel DC-AC grid –tied inverter. Each inverter bridge is connected to a200w solar panel .OPALRT lab was used as the hardware in the loop (HIL) real-time control system platform where a maximum power point Tracking ( MPPT) algorithm was implemented based on the inverter output power to the power grid as well as a phase locked loop (PLL) for phase and frequency match. A novel SPWM scheme is proposed in this paper to be used with the solar panels that can account for voltage profile fluctruations among the panels during the day. Simulation and experimental results are shown for voltage and current during synchronization mode and power transferring mode to validate the methodology for grid connection of renewable resources.

Key Words

HARMONIC MINIMIZATION OF A SOLAR FED CASCADE H-BRIDGE INVERTER USING ARTIFICIAL NEURAL NETWORK

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"HARMONIC MINIMIZATION OF A SOLAR FED CASCADE H-BRIDGE INVERTER USING ARTIFICIAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.102-107, February-2020, Available :http://www.jetir.org/papers/JETIRDJ06015.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"HARMONIC MINIMIZATION OF A SOLAR FED CASCADE H-BRIDGE INVERTER USING ARTIFICIAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp102-107, February-2020, Available at : http://www.jetir.org/papers/JETIRDJ06015.pdf

Publication Details

Published Paper ID: JETIRDJ06015
Registration ID: 228130
Published In: Volume 7 | Issue 2 | Year February-2020
DOI (Digital Object Identifier):
Page No: 102-107
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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