Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar
This project report presents a genetic algorithm approach for determining the priority order in the commitment of thermal units in power generation. The purpose of the problem is to properly schedule on/off states at the same times determining the generation of each unit that is to be committed of a...
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| Format: | Thesis |
| Language: | en |
| Published: |
2000
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| Online Access: | https://ir.uitm.edu.my/id/eprint/77794/1/77794.pdf https://ir.uitm.edu.my/id/eprint/77794/ |
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| _version_ | 1833076678471974912 |
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| author | Sahar, Zairul Nizam |
| author_facet | Sahar, Zairul Nizam |
| author_sort | Sahar, Zairul Nizam |
| 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 report presents a genetic algorithm approach for determining the priority order in the commitment of thermal units in power generation. The purpose of the problem is to properly schedule on/off states at the same times determining the generation of each unit that is to be committed of all power station units in a system to meet the load demand, so that the overall generation cost is a minimum, while satisfying various constraints. This project report examines the feasibility of using genetic algorithm and shows the simulation result to make a comparison of cost generated between the unit thermals. |
| format | Thesis |
| id | my.uitm.ir-77794 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2000 |
| record_format | eprints |
| spelling | my.uitm.ir-777942023-07-25T08:42:36Z https://ir.uitm.edu.my/id/eprint/77794/ Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar Sahar, Zairul Nizam Evolutionary programming (Computer science). Genetic algorithms Electric power distribution. Electric power transmission This project report presents a genetic algorithm approach for determining the priority order in the commitment of thermal units in power generation. The purpose of the problem is to properly schedule on/off states at the same times determining the generation of each unit that is to be committed of all power station units in a system to meet the load demand, so that the overall generation cost is a minimum, while satisfying various constraints. This project report examines the feasibility of using genetic algorithm and shows the simulation result to make a comparison of cost generated between the unit thermals. 2000 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/77794/1/77794.pdf Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar. (2000) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
| spellingShingle | Evolutionary programming (Computer science). Genetic algorithms Electric power distribution. Electric power transmission Sahar, Zairul Nizam Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar |
| title | Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar |
| title_full | Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar |
| title_fullStr | Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar |
| title_full_unstemmed | Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar |
| title_short | Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar |
| title_sort | genetic algorithm based for unit commitment in power systems / zairul nizam sahar |
| topic | Evolutionary programming (Computer science). Genetic algorithms Electric power distribution. Electric power transmission |
| url | https://ir.uitm.edu.my/id/eprint/77794/1/77794.pdf https://ir.uitm.edu.my/id/eprint/77794/ |
| url_provider | http://ir.uitm.edu.my/ |