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Performance comparison of DE, PSO and GA approaches in Transmission Power Loss minimization using FACTS Devices

by K. Chandrasekar Baboo, N. V. Ramana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 5
Year of Publication: 2011
Authors: K. Chandrasekar Baboo, N. V. Ramana
10.5120/4020-5717

K. Chandrasekar Baboo, N. V. Ramana . Performance comparison of DE, PSO and GA approaches in Transmission Power Loss minimization using FACTS Devices. International Journal of Computer Applications. 33, 5 ( November 2011), 58-62. DOI=10.5120/4020-5717

@article{ 10.5120/4020-5717,
author = { K. Chandrasekar Baboo, N. V. Ramana },
title = { Performance comparison of DE, PSO and GA approaches in Transmission Power Loss minimization using FACTS Devices },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 5 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 58-62 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number5/4020-5717/ },
doi = { 10.5120/4020-5717 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:24.912764+05:30
%A K. Chandrasekar Baboo
%A N. V. Ramana
%T Performance comparison of DE, PSO and GA approaches in Transmission Power Loss minimization using FACTS Devices
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 5
%P 58-62
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the performance comparison of meta–heuristics algorithms such as DE (Differential Evolution), PSO (Particle Swarm Optimization) and GA (Genetic Algorithm for the problem of Transmission Power Loss (TPL) minimization using Flexible AC Transmission System (FACTS) devices. In addition to that a novel power flow method is proposed using Broyden – Shamanski method with Sherman – Morrison formula (BSS) to reduce the computational time without loss of accuracy and the results are compared with the conventional Newton Raphson (NR) method. Simulation test are carried on WSCC 9 bus, New England 39 bus and IEEE 118 bus test systems. Results indicate that location of FACTS device using DE algorithm minimizes TPL better with higher computational efficacy when compared to PSO and GA.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Differential Evolution Genetic Algorithm Particle Swarm Optimization Transmission Power Loss FACTS device.

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