 |
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: November 2025
Volume 10 | Issue 11
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 : 114
Article Submitted : 18635
Article Published : 7856
Total Authors : 20766
Total Reviewer : 757
Total Countries : 142
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Detection Of Voltage Stability by Using Machine Learning: A Review |
| Authors Name: | Uppala Yaswanth Kumar , Valle Sireesha , Kethireddi Sharmila , Sirigudi Jeevan Kumar, Routhu Chaitanya , Dr. H.Chappa |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_188236
|
| Published Paper Id: | IJRTI2310055 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | https://doi.org/10.5281/zenodo.10042975 |
| Abstract: | Voltage instability is basically a local issue, usually triggered due to lack of reactive power support at load buses. This project explores detection of voltage instability in power system using Machine Learning techniques like Support vector Machine. Indices like Voltage stability margin, Reactive power margin will be utilized to apply machine learning techniques. Support vector machine employs two methods such as, ant lion optimization algorithm and dragonfly algorithm to determine the optimal parameters of support vector regression model. The obtained result suggested that these two models can be applied to predict the voltage stability margin in power system, which in turn detect the likelihood of voltage instability. |
| Keywords: | Voltage instability; voltage stability margin (VSM); synchronous generators; Machine learning. (MI) techniques; support vector regression (SVR) |
| Cite Article: | "Detection Of Voltage Stability by Using Machine Learning: A Review", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 10, page no.382 - 389, October-2023, Available :http://www.ijrti.org/papers/IJRTI2310055.pdf |
| Downloads: | 000205113 |
| 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: IJRTI2310055
Registration ID:188236
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10042975
Page No: 382 - 389 Country: Vizianagaram, Andhra Pradesh, India Research Area: Electrical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2310055 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2310055 |
| 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 | |||