 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19457
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Using Artificial Neural Network power quality enhancement based DVR |
| Authors Name: | Ashabai Shivaji Gadhave , Malad H.M. , Patil V.J , Salunkhe S.H. , More Divyani S. |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_201190
|
| Published Paper Id: | IJRTI2503042 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | Power quality is crucial in modern power systems. Including the stability and reliability of electrical supply, voltage levels, frequency, and the presence of disturbances like harmonics, surges, or sags. Voltage harmonics sags, and swells can indeed damage sensitive equipment. As the reliance on sensitive and sophisticated equipment grows, maintaining high power quality becomes even more critical. The use of an artificial neural network (ANN) controller voltage sag and swell is compensated by DVR . For voltage source converter (VSC) switching the generation of reference voltage for, the voltage conversion from rotating vectors to stationary frame, synchronous reference frame (SRF) theory is applied. Using MATLAB software The DVR Control Strategy and its performance is simulated. The ANN controller, by being able to approximate complex functions and adjust its behavior based on real-time input. The Dynamic Voltage Restorer (DVR) is indeed a specialized device designed to protect sensitive loads from voltage disturbances in power distribution systems. The efficiency of the control technique used for managing inverter switching is a critical factor in the overall performance of a Dynamic Voltage Restorer (DVR). The power quality of non- linear systems such as a Dynamic Voltage Restorer (DVR). Comparison of the ANN controller with the conventional Proportional Integral controller (PI), which showed ANN controller's superior performance with less Total Harmonic Distortion (THD) it is also shown a detailed. |
| Keywords: | power quality, DVR, enhancement, voltage sags, dynamic, stability, voltage swell |
| Cite Article: | "Using Artificial Neural Network power quality enhancement based DVR", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a344-a347, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503042.pdf |
| Downloads: | 000505 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2503042
Registration ID:201190
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: a344-a347 Country: SOLAPUR, MAHARASHTRA, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503042 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503042 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||