UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1905428


Registration ID:
209670

Page Number

176-179

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Title

Novel Algorithm for Optimizing Power Flow in UPS System

Abstract

This paper adopts the concept of using the particle swam algorithm and the IEEE 30 bus system to enhance and optimizing the power flow in the Online UPS systems in order to raise up the backup and performance. In the proposed work, we go for improving the power backup by utilizing Particle Swarm Algorithm and IEEE 30 Bus System; Optimal Power flow (OPF) is assigning loads for least power prerequisites while meeting the system limitations. It is figured as an advancement issue of limiting the all out power necessities of every dedicated part while meeting the system.

Key Words

Particle Swan Algorithm , IEEE 30 Bus System. .

Cite This Article

"Novel Algorithm for Optimizing Power Flow in UPS System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.176-179, May-2019, Available :http://www.jetir.org/papers/JETIR1905428.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

"Novel Algorithm for Optimizing Power Flow in UPS System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp176-179, May-2019, Available at : http://www.jetir.org/papers/JETIR1905428.pdf

Publication Details

Published Paper ID: JETIR1905428
Registration ID: 209670
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 176-179
Country: Jaipur, Rajasthan, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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