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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 : 11
Issue Published : 118
Article Submitted : 21504
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
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| Paper Title: | Artificial Intelligence Based Power System Stability |
| Authors Name: | Manisha Dilip Landge , Vaishali Chavhan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_182334
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| Published Paper Id: | IJRTI2206085 |
| Published In: | Volume 7 Issue 6, June-2022 |
| DOI: | |
| Abstract: | The stability analysis is considered as a crucial problem for a reliable and safe power system. Voltage stability refers to a power system's ability to maintain consistent, acceptable voltages across all of its buses. The measurement of the voltage stability index (VSI) for a power system condition can operate as an accurate and quick indicator of the systems near to voltage instability. The application of intelligent methods based on artificial neural networks (ANN), fuzzy logic, and evolutionary algorithms to the problem of voltage stability assessment has recently piqued interest. With the capacity to provide non-linear input/output mapping, parallel processing, learning, and generalization, ANNs have the potential to be suitable for estimating power system VSIs without solving the governing power system equations. This paper presents the power stability analysis based on ANN and K-nearest neighbor. For each scenario, Power Stability Analysis (PSA) utilizing VSI is performed for several option loading strategies of power network creating ANN models. The outcome was proven to be effective in analyzing voltage stability issues, specifically in ranking network buses in order of vulnerability. |
| Keywords: | power Stability Analysis, Artificial Neural Network, K-Nearest Neighbor, Machine Learning |
| Cite Article: | "Artificial Intelligence Based Power System Stability", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.501 - 505, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206085.pdf |
| Downloads: | 000205335 |
| 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: IJRTI2206085
Registration ID:182334
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 501 - 505 Country: Sangamner, Maharashtra, India Research Area: Electrical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206085 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206085 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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