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Placement of SVC for Multi-objective Function using RCGA

by Ankita Singh, Shishir Dixit
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 11
Year of Publication: 2015
Authors: Ankita Singh, Shishir Dixit
10.5120/21275-4268

Ankita Singh, Shishir Dixit . Placement of SVC for Multi-objective Function using RCGA. International Journal of Computer Applications. 120, 11 ( June 2015), 34-41. DOI=10.5120/21275-4268

@article{ 10.5120/21275-4268,
author = { Ankita Singh, Shishir Dixit },
title = { Placement of SVC for Multi-objective Function using RCGA },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 11 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 34-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number11/21275-4268/ },
doi = { 10.5120/21275-4268 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:59.408819+05:30
%A Ankita Singh
%A Shishir Dixit
%T Placement of SVC for Multi-objective Function using RCGA
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 11
%P 34-41
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper addresses the optimal placement of static var compensators (SVCs) in a power system network in such a manner that power loss, voltage deviation and installation cost is minimized. Voltage deviation is minimized by improving voltage profile. The aim of this study is to minimizing the power loss, voltage deviation and installation cost under critical contingency and increasing load condition in power system network. The multi-objective function is carried out in this study. RCGA is used to solve the optimization problem in this paper which is one of the heuristic methods. Real Coded Genetic Algorithm optimization helps in determining the location of the SVC. The proposed approach has been tested on IEEE-30 Bus test system with different objectives. It has also been observed, we can apply this algorithm to larger systems with computational difficulties. The obtained results show that the suggested method of SVC placement is effective in reducing the real power loss, voltage deviation and installation cost during normal as well as critical contingency cases.

References
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Index Terms

Computer Science
Information Sciences

Keywords

FACTS devices Genetic Algorithm SVC Voltage Profile Voltage deviation Power Loss Installation Cost

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