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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2018
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/72350/1/Dynamic%20Economic%20Dispatch%20Assessment%20Using%20Particle%20Swarm.pdf http://psasir.upm.edu.my/id/eprint/72350/ https://journal.portalgaruda.org/index.php/EEI/article/view/1278 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|