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Using particle swarm optimization algorithm in the distribution system planning

Technology advancement, the drive to reduce environmental pollution and energy security concern, have led to an increase in the use of Distributed Generations (DGs). One of the important aspects of the power system is the optimal operation of distribution networks. Therefore, the objective of this p...

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Main Authors: Shamshiri, Meysam, Gan, Chin Kim, Jusoff, Kamaruzaman, Hasan, Ihsan Jabbar, Ab Ghani, Mohd Ruddin, Yusoff, Mariana
Format: Article
Language:English
Published: American-Eurasian Network for Scientific Information 2013
Online Access:http://psasir.upm.edu.my/id/eprint/14949/1/Using%20particle%20swarm%20optimization%20algorithm%20in%20the%20distribution%20system%20planning.pdf
http://psasir.upm.edu.my/id/eprint/14949/
http://www.ajbasweb.com/old/ajbas_Special%20issue_2013.html
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spelling my.upm.eprints.149492019-05-08T07:43:15Z http://psasir.upm.edu.my/id/eprint/14949/ Using particle swarm optimization algorithm in the distribution system planning Shamshiri, Meysam Gan, Chin Kim Jusoff, Kamaruzaman Hasan, Ihsan Jabbar Ab Ghani, Mohd Ruddin Yusoff, Mariana Technology advancement, the drive to reduce environmental pollution and energy security concern, have led to an increase in the use of Distributed Generations (DGs). One of the important aspects of the power system is the optimal operation of distribution networks. Therefore, the objective of this paper is to determine the possible solution for optimal operation of distribution networks which takes into account the impact of DG. Since the optimal operation of distribution networks is an optimization problem with discrete and continuous variables, it can be introduced as an integer problem that can be formulated using the metaheuristic approach. This paper utilizes the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. In addition, a case study on IEEE 34 bus system has been carried out to demonstrate the effectiveness of the PSO algorithm with regards to Genetic Algorithm (GA). Results indicate that PSO have better performance over the GA in terms of cost of losses minimization and convergence time. Future work should consider to minimize the overall network cost simultaneously that takes into account the DG investment cost, cost of losses and maintenance cost. American-Eurasian Network for Scientific Information 2013 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/14949/1/Using%20particle%20swarm%20optimization%20algorithm%20in%20the%20distribution%20system%20planning.pdf Shamshiri, Meysam and Gan, Chin Kim and Jusoff, Kamaruzaman and Hasan, Ihsan Jabbar and Ab Ghani, Mohd Ruddin and Yusoff, Mariana (2013) Using particle swarm optimization algorithm in the distribution system planning. Australian Journal of Basic and Applied Sciences, 7 (3). pp. 85-92. ISSN 1991-8178 http://www.ajbasweb.com/old/ajbas_Special%20issue_2013.html
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Technology advancement, the drive to reduce environmental pollution and energy security concern, have led to an increase in the use of Distributed Generations (DGs). One of the important aspects of the power system is the optimal operation of distribution networks. Therefore, the objective of this paper is to determine the possible solution for optimal operation of distribution networks which takes into account the impact of DG. Since the optimal operation of distribution networks is an optimization problem with discrete and continuous variables, it can be introduced as an integer problem that can be formulated using the metaheuristic approach. This paper utilizes the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. In addition, a case study on IEEE 34 bus system has been carried out to demonstrate the effectiveness of the PSO algorithm with regards to Genetic Algorithm (GA). Results indicate that PSO have better performance over the GA in terms of cost of losses minimization and convergence time. Future work should consider to minimize the overall network cost simultaneously that takes into account the DG investment cost, cost of losses and maintenance cost.
format Article
author Shamshiri, Meysam
Gan, Chin Kim
Jusoff, Kamaruzaman
Hasan, Ihsan Jabbar
Ab Ghani, Mohd Ruddin
Yusoff, Mariana
spellingShingle Shamshiri, Meysam
Gan, Chin Kim
Jusoff, Kamaruzaman
Hasan, Ihsan Jabbar
Ab Ghani, Mohd Ruddin
Yusoff, Mariana
Using particle swarm optimization algorithm in the distribution system planning
author_facet Shamshiri, Meysam
Gan, Chin Kim
Jusoff, Kamaruzaman
Hasan, Ihsan Jabbar
Ab Ghani, Mohd Ruddin
Yusoff, Mariana
author_sort Shamshiri, Meysam
title Using particle swarm optimization algorithm in the distribution system planning
title_short Using particle swarm optimization algorithm in the distribution system planning
title_full Using particle swarm optimization algorithm in the distribution system planning
title_fullStr Using particle swarm optimization algorithm in the distribution system planning
title_full_unstemmed Using particle swarm optimization algorithm in the distribution system planning
title_sort using particle swarm optimization algorithm in the distribution system planning
publisher American-Eurasian Network for Scientific Information
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/14949/1/Using%20particle%20swarm%20optimization%20algorithm%20in%20the%20distribution%20system%20planning.pdf
http://psasir.upm.edu.my/id/eprint/14949/
http://www.ajbasweb.com/old/ajbas_Special%20issue_2013.html
_version_ 1643825787407695872
score 13.211869

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