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Reconfiguration of Electric Distribution Network Using Modified Particle Swarm Optimization

by Anoop Arya, Yogendra Kumar, Manisha Dubey
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 34 - Number 6
Year of Publication: 2011
Authors: Anoop Arya, Yogendra Kumar, Manisha Dubey
10.5120/4131-5994

Anoop Arya, Yogendra Kumar, Manisha Dubey . Reconfiguration of Electric Distribution Network Using Modified Particle Swarm Optimization. International Journal of Computer Applications. 34, 6 ( November 2011), 54-62. DOI=10.5120/4131-5994

@article{ 10.5120/4131-5994,
author = { Anoop Arya, Yogendra Kumar, Manisha Dubey },
title = { Reconfiguration of Electric Distribution Network Using Modified Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 34 },
number = { 6 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 54-62 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume34/number6/4131-5994/ },
doi = { 10.5120/4131-5994 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:20:25.922502+05:30
%A Anoop Arya
%A Yogendra Kumar
%A Manisha Dubey
%T Reconfiguration of Electric Distribution Network Using Modified Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 34
%N 6
%P 54-62
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the application of modified form of Particle Swarm Optimization as an optimization technique to the reconfiguration of electric distribution systems. The intended reconfiguration is an optimization and decision-making process which considers the maximization of the number of loads supplied associated to the minimization of the number of closed switches. A novel selection regime for the choosing of global best (gbest) and personal best (pbest) for swarm members in multi-objective particle swarm optimisation (MOPSO) without using external archives have been proposed. It means the algorithm is simple and computer coding is easy to implement to reconfiguration problem. The proposed methodology consists of use of the maximization function of the number of loads supplied and the loss minimization by the application of MOPSO. The developed algorithm has given the optimal solution in a reasonable computational time, compared to the dimension of the distribution system. Simulations for the test systems shows that the proposed MOPSO possesses better ability to finding the optimal Pareto front compared to the NSGA-II and classical PSO.

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Index Terms

Computer Science
Information Sciences

Keywords

Reconfiguration Distribution System Combinatorial optimization Multi objective particle swarm optimization

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