Dynamic economic dispatch assessment using particle swarm optimization technique
This paper presents the application of particle swarm optimization (PSO) technique for solving the dynamic economic dispatch (DED) problem. The DED is one of the main functions in power system planning in order to obtain optimum power system operation and control. It determines the optimal operation...
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| Format: | Article |
| Language: | English |
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Universitas Ahmad Dahlan
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/72350/1/Dynamic%20Economic%20Dispatch%20Assessment%20Using%20Particle%20Swarm.pdf |
| _version_ | 1825950070144499712 |
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| author | Othman, Muhammad Murtadha Mohd Shafri, Mohd Affendi Musirin, Ismail Salim, Nur Ashida Othman, Mohammad Lutfi |
| author_facet | Othman, Muhammad Murtadha Mohd Shafri, Mohd Affendi Musirin, Ismail Salim, Nur Ashida Othman, Mohammad Lutfi |
| author_sort | Othman, Muhammad Murtadha |
| collection | UPM |
| description | This paper presents the application of particle swarm optimization (PSO) technique for solving the dynamic economic dispatch (DED) problem. The DED is one of the main functions in power system planning in order to obtain optimum power system operation and control. It determines the optimal operation of generating units at every predicted load demands over a certain period of time. The optimum operation of generating units is obtained by referring to the minimum total generation cost while the system is operating within its limits. The DED based PSO technique is tested on a 9-bus system containing of three generator bus, six load bus and twelve transmission lines. |
| first_indexed | 2024-03-06T10:08:59Z |
| format | Article |
| id | upm.eprints-72350 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:08:59Z |
| publishDate | 2018 |
| publisher | Universitas Ahmad Dahlan |
| record_format | dspace |
| spelling | upm.eprints-723502020-05-18T03:38:35Z http://psasir.upm.edu.my/id/eprint/72350/ Dynamic economic dispatch assessment using particle swarm optimization technique Othman, Muhammad Murtadha Mohd Shafri, Mohd Affendi Musirin, Ismail Salim, Nur Ashida Othman, Mohammad Lutfi This paper presents the application of particle swarm optimization (PSO) technique for solving the dynamic economic dispatch (DED) problem. The DED is one of the main functions in power system planning in order to obtain optimum power system operation and control. It determines the optimal operation of generating units at every predicted load demands over a certain period of time. The optimum operation of generating units is obtained by referring to the minimum total generation cost while the system is operating within its limits. The DED based PSO technique is tested on a 9-bus system containing of three generator bus, six load bus and twelve transmission lines. Universitas Ahmad Dahlan 2018-09 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72350/1/Dynamic%20Economic%20Dispatch%20Assessment%20Using%20Particle%20Swarm.pdf Othman, Muhammad Murtadha and Mohd Shafri, Mohd Affendi and Musirin, Ismail and Salim, Nur Ashida and Othman, Mohammad Lutfi (2018) Dynamic economic dispatch assessment using particle swarm optimization technique. Bulletin of Electrical Engineering and Informatics, 7 (3). 458 - 464. ISSN 2089-3191; ESSN: 2302-9285 https://journal.portalgaruda.org/index.php/EEI/article/view/1278 10.11591/eei.v7i3.1278 |
| spellingShingle | Othman, Muhammad Murtadha Mohd Shafri, Mohd Affendi Musirin, Ismail Salim, Nur Ashida Othman, Mohammad Lutfi Dynamic economic dispatch assessment using particle swarm optimization technique |
| title | Dynamic economic dispatch assessment using particle swarm optimization technique |
| title_full | Dynamic economic dispatch assessment using particle swarm optimization technique |
| title_fullStr | Dynamic economic dispatch assessment using particle swarm optimization technique |
| title_full_unstemmed | Dynamic economic dispatch assessment using particle swarm optimization technique |
| title_short | Dynamic economic dispatch assessment using particle swarm optimization technique |
| title_sort | dynamic economic dispatch assessment using particle swarm optimization technique |
| url | http://psasir.upm.edu.my/id/eprint/72350/1/Dynamic%20Economic%20Dispatch%20Assessment%20Using%20Particle%20Swarm.pdf |
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