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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American-Eurasian Network for Scientific Information
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/14949/1/Using%20particle%20swarm%20optimization%20algorithm%20in%20the%20distribution%20system%20planning.pdf |
| _version_ | 1825945526565076992 |
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| author | Shamshiri, Meysam Gan, Chin Kim Jusoff, Kamaruzaman Hasan, Ihsan Jabbar Ab Ghani, Mohd Ruddin Yusoff, Mariana |
| author_facet | Shamshiri, Meysam Gan, Chin Kim Jusoff, Kamaruzaman Hasan, Ihsan Jabbar Ab Ghani, Mohd Ruddin Yusoff, Mariana |
| author_sort | Shamshiri, Meysam |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T07:32:53Z |
| format | Article |
| id | upm.eprints-14949 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:32:53Z |
| publishDate | 2013 |
| publisher | American-Eurasian Network for Scientific Information |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | Using particle swarm optimization algorithm in the distribution system planning |
| title_sort | using particle swarm optimization algorithm in the distribution system planning |
| url | http://psasir.upm.edu.my/id/eprint/14949/1/Using%20particle%20swarm%20optimization%20algorithm%20in%20the%20distribution%20system%20planning.pdf |
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