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...

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Main Authors: Sulaima, Mohamad Fani, Mohd Fadhlan , Mohamad, Jali, Mohd Hafiz, Wan Daud, Wan Mohd Bukhari, Baharom, Mohamad Faizal
Format: Article
Language:English
Published: Research India Publications 2014
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Online Access:http://eprints.utem.edu.my/id/eprint/12148/1/2014_-_A_Comparative_Study_of_Optimization_Methods_for_33kV.pdf
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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
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score 13.209306