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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19453
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Total Authors : 21252
Total Reviewer : 769
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| 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 |
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IJRTI_188236
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| 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: | 000205140 |
| 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 |
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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 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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