Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani
This project presents a methodology for solving optimal economic dispatch by using back propagation neural networks. The optimal power flow for each generating units must have total fuel cost at minimum point. For this problem, the total load is varied and the losses for generating units are ignored...
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| Format: | Thesis |
| Language: | en |
| Published: |
2012
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| Online Access: | https://ir.uitm.edu.my/id/eprint/85249/1/85249.PDF https://ir.uitm.edu.my/id/eprint/85249/ |
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| _version_ | 1833078680545394688 |
|---|---|
| author | Mat Rani, Siti Nor |
| author_facet | Mat Rani, Siti Nor |
| author_sort | Mat Rani, Siti Nor |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This project presents a methodology for solving optimal economic dispatch by using back propagation neural networks. The optimal power flow for each generating units must have total fuel cost at minimum point. For this problem, the total load is varied and the losses for generating units are ignored. There are many conventional method to solve economic dispatch such as Lagrange multiplier method, Lambda iteration method and Newton Raphson method. This paper present the back-propagation neural networks model to carry out instead the conventional Lambda iteration method. The proposed technique was tested on single bus system. |
| format | Thesis |
| id | my.uitm.ir-85249 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2012 |
| record_format | eprints |
| spelling | my.uitm.ir-852492024-02-06T04:29:05Z https://ir.uitm.edu.my/id/eprint/85249/ Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani Mat Rani, Siti Nor This project presents a methodology for solving optimal economic dispatch by using back propagation neural networks. The optimal power flow for each generating units must have total fuel cost at minimum point. For this problem, the total load is varied and the losses for generating units are ignored. There are many conventional method to solve economic dispatch such as Lagrange multiplier method, Lambda iteration method and Newton Raphson method. This paper present the back-propagation neural networks model to carry out instead the conventional Lambda iteration method. The proposed technique was tested on single bus system. 2012 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/85249/1/85249.PDF Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani. (2012) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
| spellingShingle | Mat Rani, Siti Nor Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani |
| title | Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani |
| title_full | Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani |
| title_fullStr | Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani |
| title_full_unstemmed | Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani |
| title_short | Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani |
| title_sort | optimal economic dispatch using artificial neural network / siti nor mat rani |
| url | https://ir.uitm.edu.my/id/eprint/85249/1/85249.PDF https://ir.uitm.edu.my/id/eprint/85249/ |
| url_provider | http://ir.uitm.edu.my/ |