Citation
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
Abstract
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.
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Additional Metadata
| Item Type: | Article |
|---|---|
| DOI Number: | https://doi.org/10.11591/eei.v7i3.1278 |
| Publisher: | Universitas Ahmad Dahlan |
| Keywords: | Dynamic economic dispatch (DED); Particle swarm optimization (PSO) technique |
| Depositing User: | Nurul Ainie Mokhtar |
| Date Deposited: | 18 May 2020 03:38 |
| Last Modified: | 18 May 2020 03:38 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.11591/eei.v7i3.1278 |
| URI: | http://psasir.upm.edu.my/id/eprint/72350 |
| Statistic Details: | View Download Statistic |
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