Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu
This paper presents an economic dispatch prediction of electrical power system by using artificial neural networks (ANN). The objective of economic dispatch for generating units at different loads is to have total fuel cost at the minimum point. There are several methods which known as conventional...
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2012
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my-uitm-ir.672252023-01-09T01:27:58Z Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu 2012 Sabtu, Ahmad Radzi Neural networks (Computer science) Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This paper presents an economic dispatch prediction of electrical power system by using artificial neural networks (ANN). The objective of economic dispatch for generating units at different loads is to have total fuel cost at the minimum point. There are several methods which known as conventional methods that can be used to solve economic dispatch problem such as Lambda (X) iteration method, Lagrange multiplier method and Newton Raphson method. However, the load variation is an obstacle in optimal dispatch of conventional methods. The proposed method has been tested on a three units system and the results are compared with the results obtained from Lambda iteration method. 2012 Thesis https://ir.uitm.edu.my/id/eprint/67225/ https://ir.uitm.edu.my/id/eprint/67225/2/67225.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sheikh Rahimullah, Bibi Norasiqin |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Sheikh Rahimullah, Bibi Norasiqin |
| topic |
Neural networks (Computer science) Neural networks (Computer science) Neural networks (Computer science) |
| spellingShingle |
Neural networks (Computer science) Neural networks (Computer science) Neural networks (Computer science) Sabtu, Ahmad Radzi Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu |
| description |
This paper presents an economic dispatch prediction of electrical power system by using artificial neural networks (ANN). The objective of economic dispatch for generating units at different loads is to have total fuel cost at the minimum point. There are several methods which known as conventional methods that can be used to solve economic dispatch problem such as Lambda (X) iteration method, Lagrange multiplier method and Newton Raphson method. However, the load variation is an obstacle in optimal dispatch of conventional methods. The proposed method has been tested on a three units system and the results are compared with the results obtained from Lambda iteration method. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Sabtu, Ahmad Radzi |
| author_facet |
Sabtu, Ahmad Radzi |
| author_sort |
Sabtu, Ahmad Radzi |
| title |
Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu |
| title_short |
Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu |
| title_full |
Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu |
| title_fullStr |
Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu |
| title_full_unstemmed |
Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu |
| title_sort |
economic dispatch prediction for power generation using artificial neural networks / ahmad radzi sabtu |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2012 |
| url |
https://ir.uitm.edu.my/id/eprint/67225/2/67225.pdf |
| _version_ |
1783735668592082944 |