UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 11 Issue 3
March-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2403320


Registration ID:
534324

Page Number

d166-d181

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Title

VOLTAGE SAG MITIGATION USING LEVENBERG MARQUARDT ARTIFICIAL NEURAL NETWORK BASED DYNAMIC VOLTAGE RESTORER

Abstract

Nowadays the problem of power quality has grown to be a significant concern in order to preserve the quality of supply. The modern generation relies heavily on electrical energy to enhance their quality of life. Electricity is necessary for the operation of modern devices like computers and electric motors. Power quality is a crucial problem in today's power system that can affect both utilities and consumers. High-quality supply is necessary for the equipment to function better. Voltage sag/swell is one of the most common power quality issues in transmission networks. To lessen such issues, there are a lot of contemporary custom devices. The Dynamic Voltage Restorer (DVR) is the most economical and efficient of them .The Distribution Flexible AC Transmission System (D-FACTS) can be equipped with a DVR to address issues related to irregular voltage, current, or frequency in the distribution grid. A summary of DVR and its control scheme, which is used to mitigate power quality issues, is presented and properly analysed in this paper. Artificial neural network has been used in the controller which gives signal to the system. Artificial neural network based DVR is used to ease the sag problem.

Key Words

Dynamic Voltage Restorer (DVR) , Artificial Neural Network , PI Controller , Voltage Sag

Cite This Article

"VOLTAGE SAG MITIGATION USING LEVENBERG MARQUARDT ARTIFICIAL NEURAL NETWORK BASED DYNAMIC VOLTAGE RESTORER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.d166-d181, March-2024, Available :http://www.jetir.org/papers/JETIR2403320.pdf

ISSN


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

"VOLTAGE SAG MITIGATION USING LEVENBERG MARQUARDT ARTIFICIAL NEURAL NETWORK BASED DYNAMIC VOLTAGE RESTORER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppd166-d181, March-2024, Available at : http://www.jetir.org/papers/JETIR2403320.pdf

Publication Details

Published Paper ID: JETIR2403320
Registration ID: 534324
Published In: Volume 11 | Issue 3 | Year March-2024
DOI (Digital Object Identifier):
Page No: d166-d181
Country: Raipur, Chhattisgarh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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