UGC Approved Journal no 63975

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

Volume 6 Issue 9
September-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1907711


Registration ID:
220567

Page Number

792-799

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Title

Finding Optimal position of SVC and Decreasing of Real Power Loss and Voltage Deviation Using Genetic Algorithm (GA)

Abstract

In this paper a challenge is made to discover optimal position and sizing of static Var compensator (SVC) in a power structure network in order to decreasing the real power loss and load voltage deviation and also to progress voltage profile for with and without line out of a power system network. This paper proposes a genetic algorithm (GA) that tries to 21 times for discover the optimal position of the SVC. The planned approach has been tested on IEEE-30 Bus test system with different objectives. The principle of this reading is to decreasing the real power loss and load voltage deviation (VD) only single line outage contingency and rising loading condition in power structure network. The SVC can create or absorbs reactive power very fast to regulate the voltage magnitude at the point of installation of SVC. The value of the planned algorithm for decreasing power loss and voltage deviation and improving voltage profile is demonstrated by comparing the results that the load voltage deviation is enhanced and also there is a reduce in real power loss by GA when compared with the conventional method.

Key Words

Genetic Algorithm (GA), optimal location, Active power loss, Load Voltage deviation, Voltage Profile, SVC.

Cite This Article

"Finding Optimal position of SVC and Decreasing of Real Power Loss and Voltage Deviation Using Genetic Algorithm (GA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 9, page no.792-799, September 2019, Available :http://www.jetir.org/papers/JETIR1907711.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

"Finding Optimal position of SVC and Decreasing of Real Power Loss and Voltage Deviation Using Genetic Algorithm (GA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 9, page no. pp792-799, September 2019, Available at : http://www.jetir.org/papers/JETIR1907711.pdf

Publication Details

Published Paper ID: JETIR1907711
Registration ID: 220567
Published In: Volume 6 | Issue 9 | Year September-2019
DOI (Digital Object Identifier):
Page No: 792-799
Country: morena, Madhya Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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