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A Comparative Study on Optimal Conductor Selection for Radial Distribution Network using Conventional and Genetic Algorithm Approach

by MuraliMohan Thenepalle
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 17 - Number 2
Year of Publication: 2011
Authors: MuraliMohan Thenepalle
10.5120/2195-2789

MuraliMohan Thenepalle . A Comparative Study on Optimal Conductor Selection for Radial Distribution Network using Conventional and Genetic Algorithm Approach. International Journal of Computer Applications. 17, 2 ( March 2011), 6-13. DOI=10.5120/2195-2789

@article{ 10.5120/2195-2789,
author = { MuraliMohan Thenepalle },
title = { A Comparative Study on Optimal Conductor Selection for Radial Distribution Network using Conventional and Genetic Algorithm Approach },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 17 },
number = { 2 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 6-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume17/number2/2195-2789/ },
doi = { 10.5120/2195-2789 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:34.249211+05:30
%A MuraliMohan Thenepalle
%T A Comparative Study on Optimal Conductor Selection for Radial Distribution Network using Conventional and Genetic Algorithm Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 17
%N 2
%P 6-13
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the methodology for the selection of optimal conductors, in radial distribution systems by comparative study of the results obtained by conventional or analytical method and Genetic algorithm method (GA).The objective is to minimize the real and reactive power losses in the system and to maximize the total saving in cost of conducting material while maintaining the acceptable voltage levels. The conductor, which is determined by conventional method will satisfy not only the maximum current carrying capacity and maintain acceptable voltage limits. It is observed that the number of computations is more in conventional method than Genetic Algorithm. The proposed method is tested on 13 bus of Andhra Pradesh southern power Distribution Company limited.

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Index Terms

Computer Science
Information Sciences

Keywords

Genetic algorithm real power loss reactive power loss distributed load flow

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