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Reseach Article

Dragonfly Optimization based Reconfiguration for Voltage Profile Enhancement in Distribution Systems

by T. K. Abhiraj, P. Aravindhababu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 158 - Number 3
Year of Publication: 2017
Authors: T. K. Abhiraj, P. Aravindhababu
10.5120/ijca2017912758

T. K. Abhiraj, P. Aravindhababu . Dragonfly Optimization based Reconfiguration for Voltage Profile Enhancement in Distribution Systems. International Journal of Computer Applications. 158, 3 ( Jan 2017), 1-4. DOI=10.5120/ijca2017912758

@article{ 10.5120/ijca2017912758,
author = { T. K. Abhiraj, P. Aravindhababu },
title = { Dragonfly Optimization based Reconfiguration for Voltage Profile Enhancement in Distribution Systems },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 158 },
number = { 3 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume158/number3/26885-2017912758/ },
doi = { 10.5120/ijca2017912758 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:49.100314+05:30
%A T. K. Abhiraj
%A P. Aravindhababu
%T Dragonfly Optimization based Reconfiguration for Voltage Profile Enhancement in Distribution Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 158
%N 3
%P 1-4
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Dragonfly Optimization (DO) is a nature inspired optimization technique that imitates the static and dynamic swarming activities of dragonflies. The static swarm possessing smaller number of dragonflies hunts for preys in a small area, while the dynamic swarm with more number of dragonflies travels over long distances; and they represent the exploration and exploitation phases of the DO. This paper applies DO in solving reconfiguration problem of distribution systems with an objective of enhancing the voltage profile. It presents the results of 33 and 69-node distribution systems for illustrating the superiority of the proposed method.

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Index Terms

Computer Science
Information Sciences

Keywords

network reconfiguration dragonfly optimization. Nomenclature BBO biogeography based optimization   branch-to-node matrix that describes the topological structure of the distribution network  DO dragonfly optimization  DORM DO based reconfiguration method  GA genetic algorithm   current in branch between nodes-k and -m   maximum permissible current through branch between nodes-k and -m  LVM lowest node voltage seen in the network  NVD net voltage deviations   number of nodes   binary variable that represents status of -th tie switch  PSO particle swarm optimization  VPI voltage profile improvement   voltage at node-m   weight coefficients   a set of limit violated branches