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:
Online Access:http://studentsrepo.um.edu.my/8512/7/afifah.pdf
http://studentsrepo.um.edu.my/8512/
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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/
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score 13.209306