UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2209081


Registration ID:
502100

Page Number

a749-a771

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Title

Reliability Improvement of Restructurred Power Systems Using AI Algorithms & Demand Side Load Management

Abstract

An indigenous hybrid technique for power stability & quality improvement in restructured power system with priority to renewable generation & priority wise dynamic load management is proposed. Also artificial intelligence is employed for droop frequency management. The proposed technique caters to all three modes of operation of such power system viz island mode, grid tie mode without reverse feed and grid tie mode with reverse feed.

Key Words

MATLAB, grid modes, Power Generation control, load management.

Cite This Article

"Reliability Improvement of Restructurred Power Systems Using AI Algorithms & Demand Side Load Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.a749-a771, September-2022, Available :http://www.jetir.org/papers/JETIR2209081.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

"Reliability Improvement of Restructurred Power Systems Using AI Algorithms & Demand Side Load Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppa749-a771, September-2022, Available at : http://www.jetir.org/papers/JETIR2209081.pdf

Publication Details

Published Paper ID: JETIR2209081
Registration ID: 502100
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: a749-a771
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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