A Comparative Study of Optimization Methods for 33kV Distribution Network Feeder Reconfiguration
Distribution Network Reconfiguration (DNR) has been a part of importance strategies in order to reduce the power losses in the electrical network system. Due to the increase of demand for the electricity and high cost maintenance, feeder reconfiguration has become more popular issue to discuss. I...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Research India Publications
2014
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/12148/1/2014_-_A_Comparative_Study_of_Optimization_Methods_for_33kV.pdf http://eprints.utem.edu.my/id/eprint/12148/ http://www.ripublication.com |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utem.eprints.12148 |
---|---|
record_format |
eprints |
spelling |
my.utem.eprints.121482015-05-28T04:22:42Z http://eprints.utem.edu.my/id/eprint/12148/ A Comparative Study of Optimization Methods for 33kV Distribution Network Feeder Reconfiguration Sulaima, Mohamad Fani Mohd Fadhlan , Mohamad Jali, Mohd Hafiz Wan Daud, Wan Mohd Bukhari Baharom, Mohamad Faizal TK Electrical engineering. Electronics Nuclear engineering Distribution Network Reconfiguration (DNR) has been a part of importance strategies in order to reduce the power losses in the electrical network system. Due to the increase of demand for the electricity and high cost maintenance, feeder reconfiguration has become more popular issue to discuss. In this paper, a comparative study has been made by using several optimization methods which are Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The objectives of this study are to compare the performance in terms of Power Losses Reduction (PLR), percentage of Voltage Profile Improvement (VPI), and Convergence Time (CT) while select the best method as a suggestion for future research. The programming has been simulated in MATLAB environment and IEEE 33-bus system is used for real testing. ABC method has shown the superior results in the analysis of two objectives function. The suggestion has been concluded and it is hoped to help the power system engineer in deciding a better feeder arrangement in the future. Research India Publications 2014-02-24 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/12148/1/2014_-_A_Comparative_Study_of_Optimization_Methods_for_33kV.pdf Sulaima, Mohamad Fani and Mohd Fadhlan , Mohamad and Jali, Mohd Hafiz and Wan Daud, Wan Mohd Bukhari and Baharom, Mohamad Faizal (2014) A Comparative Study of Optimization Methods for 33kV Distribution Network Feeder Reconfiguration. International Journal of Applied Engineering Research, 9 (9). pp. 1169-1182. ISSN 0973-4562 http://www.ripublication.com |
institution |
Universiti Teknikal Malaysia Melaka |
building |
UTEM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknikal Malaysia Melaka |
content_source |
UTEM Institutional Repository |
url_provider |
http://eprints.utem.edu.my/ |
language |
English |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Sulaima, Mohamad Fani Mohd Fadhlan , Mohamad Jali, Mohd Hafiz Wan Daud, Wan Mohd Bukhari Baharom, Mohamad Faizal A Comparative Study of Optimization Methods for 33kV Distribution Network Feeder Reconfiguration |
description |
Distribution Network Reconfiguration (DNR) has been a part of importance
strategies in order to reduce the power losses in the electrical network system.
Due to the increase of demand for the electricity and high cost maintenance,
feeder reconfiguration has become more popular issue to discuss. In this
paper, a comparative study has been made by using several optimization
methods which are Artificial Bee Colony (ABC), Particle Swarm Optimization
(PSO) and Genetic Algorithm (GA). The objectives of this study are to
compare the performance in terms of Power Losses Reduction (PLR),
percentage of Voltage Profile Improvement (VPI), and Convergence Time
(CT) while select the best method as a suggestion for future research. The
programming has been simulated in MATLAB environment and IEEE 33-bus
system is used for real testing. ABC method has shown the superior results in
the analysis of two objectives function. The suggestion has been concluded
and it is hoped to help the power system engineer in deciding a better feeder
arrangement in the future. |
format |
Article |
author |
Sulaima, Mohamad Fani Mohd Fadhlan , Mohamad Jali, Mohd Hafiz Wan Daud, Wan Mohd Bukhari Baharom, Mohamad Faizal |
author_facet |
Sulaima, Mohamad Fani Mohd Fadhlan , Mohamad Jali, Mohd Hafiz Wan Daud, Wan Mohd Bukhari Baharom, Mohamad Faizal |
author_sort |
Sulaima, Mohamad Fani |
title |
A Comparative Study of Optimization Methods for 33kV
Distribution Network Feeder Reconfiguration |
title_short |
A Comparative Study of Optimization Methods for 33kV
Distribution Network Feeder Reconfiguration |
title_full |
A Comparative Study of Optimization Methods for 33kV
Distribution Network Feeder Reconfiguration |
title_fullStr |
A Comparative Study of Optimization Methods for 33kV
Distribution Network Feeder Reconfiguration |
title_full_unstemmed |
A Comparative Study of Optimization Methods for 33kV
Distribution Network Feeder Reconfiguration |
title_sort |
comparative study of optimization methods for 33kv
distribution network feeder reconfiguration |
publisher |
Research India Publications |
publishDate |
2014 |
url |
http://eprints.utem.edu.my/id/eprint/12148/1/2014_-_A_Comparative_Study_of_Optimization_Methods_for_33kV.pdf http://eprints.utem.edu.my/id/eprint/12148/ http://www.ripublication.com |
_version_ |
1665905488483581952 |
score |
13.209306 |