UGC Approved Journal no 63975(19)

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

Volume 2 Issue 3
March-2015
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1503059


Registration ID:
150193

Page Number

707-707

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Title

Power Loss Minimization Techniques Using Particle Swarm Optimization & Genetic Algorithm (A Review)

Abstract

This paper describes optimal power flow based on particle swarm optimization in which the power transmission loss function is used as the problem Particle swarm optimization (PSO) is well-known and widely accepted as a potential intelligent search methods for solving such a problem. Therefore, PSO-based optimal power flow is compared with genetic-based (GA-based) optimal power flow. For 30-bus IEEE power system are employed. The algorithms for PSO and GA are discussed in this paper for Loss Minimization of Transmission Systems by using either PSO or GA.

Key Words

PSO,GA, IEEE-bus30, Power transmission loss.

Cite This Article

"Power Loss Minimization Techniques Using Particle Swarm Optimization & Genetic Algorithm (A Review)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 3, page no.707-707, March-2015, Available :http://www.jetir.org/papers/JETIR1503059.pdf

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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

"Power Loss Minimization Techniques Using Particle Swarm Optimization & Genetic Algorithm (A Review)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 3, page no. pp707-707, March-2015, Available at : http://www.jetir.org/papers/JETIR1503059.pdf

Publication Details

Published Paper ID: JETIR1503059
Registration ID: 150193
Published In: Volume 2 | Issue 3 | Year March-2015
DOI (Digital Object Identifier):
Page No: 707-707
Country: JABALPUR, M.P., India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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