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Optimal Planning for Distribution Network using GA

by B Anil Kumar, Lobzang Phunchok, Y.r.sood
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 12
Year of Publication: 2012
Authors: B Anil Kumar, Lobzang Phunchok, Y.r.sood
10.5120/6965-9609

B Anil Kumar, Lobzang Phunchok, Y.r.sood . Optimal Planning for Distribution Network using GA. International Journal of Computer Applications. 46, 12 ( May 2012), 51-56. DOI=10.5120/6965-9609

@article{ 10.5120/6965-9609,
author = { B Anil Kumar, Lobzang Phunchok, Y.r.sood },
title = { Optimal Planning for Distribution Network using GA },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 12 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 51-56 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number12/6965-9609/ },
doi = { 10.5120/6965-9609 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:40:44.435723+05:30
%A B Anil Kumar
%A Lobzang Phunchok
%A Y.r.sood
%T Optimal Planning for Distribution Network using GA
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 12
%P 51-56
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an approach for optimal routing of distribution network including sitting of substation. The problem of distribution system planning (DSP) is a large scale, very complex and difficult to define problem. This paper presents the application of an efficient Genetic Algorithm (GA) for the optimal design of large distribution system, solving the optimal feeder routing and locating of substation. GA was used to solve the optimization of DSP problem which includes the discrete nature of substation installation and feeder routing. Several searching procedure including coding and encoding the chromosome, fitness evaluated, reproduction, crossover, and mutation are examined in details. The concept of minimum spanning is implemented on a simple virgin land with 9 node and its demerits are overcome by proposed method of GA. All the final result of DSP is obtain by GA. In this paper a simple example of virgin land is solved by minimum spanning tree and demerits are overcome with GA and results are obtained by GA.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Distribution Planning Genetic Algorithm Minimum Spanning Tree

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