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V/VAR Control for the Iraqi National SHV Grid by Optimum Placement of SVC using Genetic Algorithm

by H. A. Hassonny, K. Pfeiffer, Firas M. Tuaimah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 12
Year of Publication: 2013
Authors: H. A. Hassonny, K. Pfeiffer, Firas M. Tuaimah
10.5120/11136-6215

H. A. Hassonny, K. Pfeiffer, Firas M. Tuaimah . V/VAR Control for the Iraqi National SHV Grid by Optimum Placement of SVC using Genetic Algorithm. International Journal of Computer Applications. 66, 12 ( March 2013), 27-32. DOI=10.5120/11136-6215

@article{ 10.5120/11136-6215,
author = { H. A. Hassonny, K. Pfeiffer, Firas M. Tuaimah },
title = { V/VAR Control for the Iraqi National SHV Grid by Optimum Placement of SVC using Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 12 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number12/11136-6215/ },
doi = { 10.5120/11136-6215 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:12.367272+05:30
%A H. A. Hassonny
%A K. Pfeiffer
%A Firas M. Tuaimah
%T V/VAR Control for the Iraqi National SHV Grid by Optimum Placement of SVC using Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 12
%P 27-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The reactive power control has as its main objectives for reducing losses, increasing transmission capacity, and maintaining voltage within acceptable limits. This paper suggests using SVC (Static VAr Compensator) for Iraqi National Super High Voltage (SHV) Grid System (400 kV). The aim is to improve voltage profile across the load nodes and enhance system stability as well as to reduce active power losses, which depends greatly on how these devices are placed in the system. The general problem to optimally determine the locations and sizes of SVC's to be installed by following an optimization approach. GA, as one of the heuristic methods, will be used to solve the optimization problem.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Static VAr Compensator Genetic Algorithm FACT

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