Implementing modified particle swarm optimization method to solve economic load dispatch problem
Economic Load Dispatch (ELD) is one of the important optimization tasks which provide an economic condition for power systems. In this work, Modified Particle Swarm Optimization (PSO) as an efficient and reliable evolutionary based approach has been proposed to solve the constraint economic load dis...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | English |
| 出版: |
2009
|
| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/18344/5/AbolfazlZarakiMFKE2009.pdf |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| id |
my-utm-ep.18344 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-utm-ep.183442017-09-20T06:52:51Z Implementing modified particle swarm optimization method to solve economic load dispatch problem 2009-11 Zaraki, Abolfazl TK Electrical engineering. Electronics Nuclear engineering Economic Load Dispatch (ELD) is one of the important optimization tasks which provide an economic condition for power systems. In this work, Modified Particle Swarm Optimization (PSO) as an efficient and reliable evolutionary based approach has been proposed to solve the constraint economic load dispatch problem. The proposed method is able to determine, output power generation for all of the power generation units, so that the total, constraint cost function is minimized. In project report, a piecewise quadratic function is used to represent the fuel cost of each generation units, and the B-coefficient method is used to model transmission losses. The feasibility of the proposed Modified PSO is demonstrated for 4 power system test cases, consisting 3,6,15, and 40 generation units. The obtained Modified PSO results are compared with Standard PSO (SPSO), Genetic Algorithm (GA) and Quadratic Programming (QP) base approaches. These results reveal that the proposed method is capable to get higher quality solution including mathematical simplicity, fast convergence, and robustness to solve hard economic load dispatch problem. 2009-11 Thesis http://eprints.utm.my/id/eprint/18344/ http://eprints.utm.my/id/eprint/18344/5/AbolfazlZarakiMFKE2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering |
| institution |
Universiti Teknologi Malaysia |
| collection |
UTM Institutional Repository |
| language |
English |
| topic |
TK Electrical engineering Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering Electronics Nuclear engineering Zaraki, Abolfazl Implementing modified particle swarm optimization method to solve economic load dispatch problem |
| description |
Economic Load Dispatch (ELD) is one of the important optimization tasks which provide an economic condition for power systems. In this work, Modified Particle Swarm Optimization (PSO) as an efficient and reliable evolutionary based approach has been proposed to solve the constraint economic load dispatch problem. The proposed method is able to determine, output power generation for all of the power generation units, so that the total, constraint cost function is minimized. In project report, a piecewise quadratic function is used to represent the fuel cost of each generation units, and the B-coefficient method is used to model transmission losses. The feasibility of the proposed Modified PSO is demonstrated for 4 power system test cases, consisting 3,6,15, and 40 generation units. The obtained Modified PSO results are compared with Standard PSO (SPSO), Genetic Algorithm (GA) and Quadratic Programming (QP) base approaches. These results reveal that the proposed method is capable to get higher quality solution including mathematical simplicity, fast convergence, and robustness to solve hard economic load dispatch problem. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Zaraki, Abolfazl |
| author_facet |
Zaraki, Abolfazl |
| author_sort |
Zaraki, Abolfazl |
| title |
Implementing modified particle swarm optimization method to solve economic load dispatch problem |
| title_short |
Implementing modified particle swarm optimization method to solve economic load dispatch problem |
| title_full |
Implementing modified particle swarm optimization method to solve economic load dispatch problem |
| title_fullStr |
Implementing modified particle swarm optimization method to solve economic load dispatch problem |
| title_full_unstemmed |
Implementing modified particle swarm optimization method to solve economic load dispatch problem |
| title_sort |
implementing modified particle swarm optimization method to solve economic load dispatch problem |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2009 |
| url |
http://eprints.utm.my/id/eprint/18344/5/AbolfazlZarakiMFKE2009.pdf |
| _version_ |
1747815252022525952 |