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Optimal Locating and Sizing of SSSC using Genetic Algorithm in Deregulated Power Market

by Seyed M.H Nabavi, Kamran Khafafi, Aidin Sakhavati, Saeid Nahi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 4
Year of Publication: 2011
Authors: Seyed M.H Nabavi, Kamran Khafafi, Aidin Sakhavati, Saeid Nahi
10.5120/2569-3532

Seyed M.H Nabavi, Kamran Khafafi, Aidin Sakhavati, Saeid Nahi . Optimal Locating and Sizing of SSSC using Genetic Algorithm in Deregulated Power Market. International Journal of Computer Applications. 22, 4 ( May 2011), 37-41. DOI=10.5120/2569-3532

@article{ 10.5120/2569-3532,
author = { Seyed M.H Nabavi, Kamran Khafafi, Aidin Sakhavati, Saeid Nahi },
title = { Optimal Locating and Sizing of SSSC using Genetic Algorithm in Deregulated Power Market },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 4 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number4/2569-3532/ },
doi = { 10.5120/2569-3532 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:34.148808+05:30
%A Seyed M.H Nabavi
%A Kamran Khafafi
%A Aidin Sakhavati
%A Saeid Nahi
%T Optimal Locating and Sizing of SSSC using Genetic Algorithm in Deregulated Power Market
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 4
%P 37-41
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this paper is presenting a genetic algorithm based method for congestion management and to maximize social welfare using one unit Static Synchronous Series Compensator (SSSC) in a double auction pool market based power systems. The aims are achieved by optimal locating and sizing one SSSC unit. In this paper, the GenCos cost functions are considered to be the quadratic form. Simulation outcomes on the modified IEEE 14 bus test system are used to show the impact of SSSC unit on the congestion management and social welfare maximization. Inclusion of the benefit functions of customer in the objective function and the utilization of a GA based algorithm for optimal locating/sizing of SSSC to guarantee fast convergence to the global optimal solution are the main contributions.

References
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Index Terms

Computer Science
Information Sciences

Keywords

social welfare maximization congestion management deregulated power market genetic algorithms SSSC optimal power flow

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