Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali
This thesis presents the solution algorithm based on the particle swarm optimization (PSO) for solving the pumped-storage (P/S) scheduling problem. The basic PSO algorithms_is been used to determine the economic dispatch of the hydrothermal generation with pumped-storage unit. This is because partic...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | en |
| Published: |
2012
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/67090/2/67090.pdf https://ir.uitm.edu.my/id/eprint/67090/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This thesis presents the solution algorithm based on the particle swarm optimization (PSO) for solving the pumped-storage (P/S) scheduling problem. The basic PSO algorithms_is been used to determine the economic dispatch of the hydrothermal generation with pumped-storage unit. This is because particle swarm optimization (PSO) algorithm is developed to give the economical cost for the hydrothermal generation with pumped-storage unit to fulfill the constraint of thermal and hydro unit. The hydrothermal generation with pumped-storage unit is consisting of 40 thermal units and four pumped storage units. The algorithm is been develop using Matlab software to test on comprising between hydrothermal generation with pumped-storage unit and hydrothermal generation without pumped-storage unit. Results obtained indicate the attractive properties of the hydrothermal generation with pumped-storage are better than hydrothermal generation without pumped-storage. |
|---|