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Reseach Article

Transmission Congestion Management in Restructured Power System using Firefly Algorithm

by A. Ahamed Jeelani Basha, M. Anitha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 1
Year of Publication: 2014
Authors: A. Ahamed Jeelani Basha, M. Anitha
10.5120/14807-3018

A. Ahamed Jeelani Basha, M. Anitha . Transmission Congestion Management in Restructured Power System using Firefly Algorithm. International Journal of Computer Applications. 85, 1 ( January 2014), 34-38. DOI=10.5120/14807-3018

@article{ 10.5120/14807-3018,
author = { A. Ahamed Jeelani Basha, M. Anitha },
title = { Transmission Congestion Management in Restructured Power System using Firefly Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 1 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 34-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number1/14807-3018/ },
doi = { 10.5120/14807-3018 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:22.006374+05:30
%A A. Ahamed Jeelani Basha
%A M. Anitha
%T Transmission Congestion Management in Restructured Power System using Firefly Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 1
%P 34-38
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Transmission congestion management is one of the critical and important tasks of the system operator. Transmission line congestion is considered to be more important as it may initiate the cascading outages which forces the system to collapse. This paper presents a transmission congestion management (CM) algorithm by optimal rescheduling of active powers of generators using firefly (FF) algorithm. All the generators in the system need not take part in CM. Generator sensitivity to the congested line and the cost of generation are considered while rescheduling the generators to alleviate congestion. In this paper an efficient FF algorithm is used for solving CM problem. The proposed method has been tested on IEEE 30 bus system and the results of various case studies have been compared with that of RCGA & SA methods. Results prove that FF algorithm is indeed capable of obtaining higher quality solutions for the CM problem.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Deregulation generator sensitivities simulated annealing congestion management firefly algorithm real coded genetic algorithm.