Staff View: Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir

Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir

Growing energy demand leading to increase attention to adequate reliability and efficient protection of electrical system. Improving the reliability can increase customer satisfaction. System reliability of distribution network improved by installing optimal number and location of protective equipme...

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Main Author:	Nur Afifah Auni , Mohd Nasir
Format:	Thesis
Published:	2017
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://studentsrepo.um.edu.my/8512/7/afifah.pdf http://studentsrepo.um.edu.my/8512/
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id	my.um.stud.8512
record_format	eprints
spelling	my.um.stud.85122020-08-03T00:15:12Z Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir Nur Afifah Auni , Mohd Nasir T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Growing energy demand leading to increase attention to adequate reliability and efficient protection of electrical system. Improving the reliability can increase customer satisfaction. System reliability of distribution network improved by installing optimal number and location of protective equipment which is recloser. Since recloser can reduce the number and duration of power outages in the distribution system, this thesis presents optimal recloser placement which can reduce the reliability indices, System Average Interruption Frequency Index (SAIFI) and System Average Interruption Duration Index (SAIDI). The optimization method is solved using Particle Swarm Optimization (PSO) algorithm that has gained much popularity among researchers since after its introduction. The Roy Billinton Test System (RBTS) had been used for studying the impact of optimal recloser placement to the distribution system reliability. In order to investigate the impact of different number of optimal recloser placement, up to six number of recloser are used in this project. From the simulation, PSO has successfully obtained the location of recloser based on minimum value of SAIFI and SAIDI. 2017 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/8512/7/afifah.pdf Nur Afifah Auni , Mohd Nasir (2017) Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/8512/
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Student Repository
url_provider	http://studentsrepo.um.edu.my/
topic	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Nur Afifah Auni , Mohd Nasir Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir
description	Growing energy demand leading to increase attention to adequate reliability and efficient protection of electrical system. Improving the reliability can increase customer satisfaction. System reliability of distribution network improved by installing optimal number and location of protective equipment which is recloser. Since recloser can reduce the number and duration of power outages in the distribution system, this thesis presents optimal recloser placement which can reduce the reliability indices, System Average Interruption Frequency Index (SAIFI) and System Average Interruption Duration Index (SAIDI). The optimization method is solved using Particle Swarm Optimization (PSO) algorithm that has gained much popularity among researchers since after its introduction. The Roy Billinton Test System (RBTS) had been used for studying the impact of optimal recloser placement to the distribution system reliability. In order to investigate the impact of different number of optimal recloser placement, up to six number of recloser are used in this project. From the simulation, PSO has successfully obtained the location of recloser based on minimum value of SAIFI and SAIDI.
format	Thesis
author	Nur Afifah Auni , Mohd Nasir
author_facet	Nur Afifah Auni , Mohd Nasir
author_sort	Nur Afifah Auni , Mohd Nasir
title	Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir
title_short	Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir
title_full	Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir
title_fullStr	Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir
title_full_unstemmed	Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir
title_sort	optimal recloser placement for improving distribution system reliability using particle swarm optimization / nur afifah auni mohd nasir
publishDate	2017
url	http://studentsrepo.um.edu.my/8512/7/afifah.pdf http://studentsrepo.um.edu.my/8512/
_version_	1738506151361773568
score	13.211869

Optimal recloser placement for improving distribution system reliability using particle swarm optimization / Nur Afifah Auni Mohd Nasir

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