UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

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

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1811853


Registration ID:
192262

Page Number

341-348

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Title

REAL POWER LOSS MINIMIZATION USING BRAINSTORM OPTIMIZATION ALGORITHM

Abstract

The real power losses minimization in electrical power systems ensures the secure and reliable operation of the power system. Different heuristic optimization methods have been evolved in recent years. In this paper Brainstorm Optimization Algorithm (BSOA) is used to minimize the real power loss of the system by optimal location and setting of FACTS devices. The BSOA algorithm is applied to the real power loss reduction on IEEE-30 Bus system to demonstrate its high efficiency with SVC and UPFC. The computational results specify that the proposed BSOA algorithm is feasible and effective when compared with Newton Raphson approach.

Key Words

Brainstorm optimization Algorithm (BSOA), FACTS devices, Real power loss minimization, Transmission system

Cite This Article

"REAL POWER LOSS MINIMIZATION USING BRAINSTORM OPTIMIZATION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.341-348, November-2018, Available :http://www.jetir.org/papers/JETIR1811853.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

"REAL POWER LOSS MINIMIZATION USING BRAINSTORM OPTIMIZATION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp341-348, November-2018, Available at : http://www.jetir.org/papers/JETIR1811853.pdf

Publication Details

Published Paper ID: JETIR1811853
Registration ID: 192262
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 341-348
Country: kurnool, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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