Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration

Main Authors: Essa, Mohammed B.; Middle Technical University, Alnabi, Lubna A.; Al-Mustafa University College, Dhaher, Abbas K.; Ministry of Oil, Iraqi Drilling Company
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Universitas Ahmad Dahlan , 2021
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Online Access: http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15223
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15223/10492
ctrlnum article-15223
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration</title><creator>Essa, Mohammed B.; Middle Technical University</creator><creator>Alnabi, Lubna A.; Al-Mustafa University College</creator><creator>Dhaher, Abbas K.; Ministry of Oil, Iraqi Drilling Company</creator><subject lang="en-US">distribution generation; radial distribution system; reconfiguration power loss; shunt capacitor;</subject><description lang="en-US">The population is speeding up and the demands for electrical energy are clearly increasing, this growth in load leads to higher power loss and Voltage drop. This paper is focused on a method to decrease the power losses and voltage profile improvement. The first suggested technique binary particle swarm optimization BPSO is utilized for solving the problem of the power loss minimization in network distribution. This work based on optimum position and sizing of the distribution generation (DG) units, shunt capacitor (SC) with network reconfiguration is applied to show the improvement of the network distribution efficiency. The MATLAB programming part and software package MATPOWER7 are used to simulate 69-bus and 33-bus test system with three different cases of loads and different number of DG and SC. The result showed a positive impact on system efficiency in comparison with other previous studies. This paper showed that increase of DG and capacitor does not usually give the best result although the increase of system cost, maintenance, and the units' distance for gas supplying.</description><publisher lang="en-US">Universitas Ahmad Dahlan</publisher><contributor lang="en-US"/><date>2021-06-01</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15223</identifier><identifier>10.12928/telkomnika.v19i3.15223</identifier><source lang="en-US">TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 19, No 3: June 2021; 1039-1049</source><source>2302-9293</source><source>1693-6930</source><source>10.12928/telkomnika.v19i3</source><language>eng</language><relation>http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15223/10492</relation><rights lang="0">Copyright (c) 2020 Universitas Ahmad Dahlan</rights><rights lang="0">http://creativecommons.org/licenses/by-sa/4.0</rights><recordID>article-15223</recordID></dc>
language eng
format Journal:Article
Journal
Other:info:eu-repo/semantics/publishedVersion
Other
Other:
File:application/pdf
File
Journal:eJournal
author Essa, Mohammed B.; Middle Technical University
Alnabi, Lubna A.; Al-Mustafa University College
Dhaher, Abbas K.; Ministry of Oil, Iraqi Drilling Company
title Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration
publisher Universitas Ahmad Dahlan
publishDate 2021
topic distribution generation
radial distribution system
reconfiguration power loss
shunt capacitor
url http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15223
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15223/10492
contents The population is speeding up and the demands for electrical energy are clearly increasing, this growth in load leads to higher power loss and Voltage drop. This paper is focused on a method to decrease the power losses and voltage profile improvement. The first suggested technique binary particle swarm optimization BPSO is utilized for solving the problem of the power loss minimization in network distribution. This work based on optimum position and sizing of the distribution generation (DG) units, shunt capacitor (SC) with network reconfiguration is applied to show the improvement of the network distribution efficiency. The MATLAB programming part and software package MATPOWER7 are used to simulate 69-bus and 33-bus test system with three different cases of loads and different number of DG and SC. The result showed a positive impact on system efficiency in comparison with other previous studies. This paper showed that increase of DG and capacitor does not usually give the best result although the increase of system cost, maintenance, and the units' distance for gas supplying.
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