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Optimal Location of FACTS Devices for Congestion Management in Deregulated Power Systems

by K.Vijayakumar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 16 - Number 6
Year of Publication: 2011
Authors: K.Vijayakumar
10.5120/2015-1833

K.Vijayakumar . Optimal Location of FACTS Devices for Congestion Management in Deregulated Power Systems. International Journal of Computer Applications. 16, 6 ( February 2011), 29-37. DOI=10.5120/2015-1833

@article{ 10.5120/2015-1833,
author = { K.Vijayakumar },
title = { Optimal Location of FACTS Devices for Congestion Management in Deregulated Power Systems },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 16 },
number = { 6 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 29-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume16/number6/2015-1833/ },
doi = { 10.5120/2015-1833 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:11.332835+05:30
%A K.Vijayakumar
%T Optimal Location of FACTS Devices for Congestion Management in Deregulated Power Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 16
%N 6
%P 29-37
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the emerging deregulated electric power market, congestion management becomes extremely important and it can impose barrier to electric power trading. There are two types of congestion management methodologies to relieve congestion in transmission lines. One is non-cost free methods and another is cost-free methods, among them later method relieves the congestion technically whereas the former is related more with the economics. In this paper congestion is relieved using cost free method. Among the various cost free methods, use of FACTS devices method is considered in this paper. The optimal location of TCSC and UPFC to relieve congestion in the network is proposed. In congestion management, the objective function is nonlinear hence for solving this function genetic algorithm (GA) technique is used. The above method is tested on IEEE 57-bus system and it can be readily extended to any practical systems.

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Index Terms

Computer Science
Information Sciences

Keywords

FACTS Unified Power Flow Controller (UPFC) Genetic Algorithm (GA) Deregulation Optimal Power Flow (OPF)

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