UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2404709


Registration ID:
537326

Page Number

h67-h72

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Title

Intelligent Detection and Analysis of Power Grid Failures

Abstract

Millions of people are impacted by the essential problem of power grid failure, which has serious economic and social repercussions. In this project, a voltage and frequency variation detection-based system for power grid failure detection was created. Real-time voltage and frequency measurements are used by the system to find irregularities in the power grid and to sound warnings when a failure is found. To pinpoint the shortcomings of current approaches and provide direction for the creation of the suggested system, a literature review was carried out. The technique of the system, including the measurement and analysis of voltage and frequency variations, was described. The system is capable of detecting power grid breakdowns with high accuracy, according to the results, making it a promising tool for preventing and minimizing power outages. Electricity grid failure is a serious problem that can have disastrous effects, such as financial losses, the interruption of necessary services, and civil unrest. In order to avoid power outages and lessen their negative effects on society, it is essential to be able to identify power grid faults in real-time. In this project, we created a voltage and frequency variance detection-based power grid failure detection system.

Key Words

Power grid failure, Voltage and frequency variation, Phase and Strain

Cite This Article

"Intelligent Detection and Analysis of Power Grid Failures", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.h67-h72, April-2024, Available :http://www.jetir.org/papers/JETIR2404709.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

"Intelligent Detection and Analysis of Power Grid Failures", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. pph67-h72, April-2024, Available at : http://www.jetir.org/papers/JETIR2404709.pdf

Publication Details

Published Paper ID: JETIR2404709
Registration ID: 537326
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: h67-h72
Country: Coimbatore , Tamilnadu , India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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