A Computational Intelligent Algorithm For Solving Unit Commitment Problem
Unit Commitment (UC) is the task in finding the most optimum generating schedule of each generating unit. In determining UC, Distributed Generation (DG) would be one of the factors that would influence the outcome of power generation as it would deploy small – scaled technologies nearer to consum...
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| Format: | text::Final Year Project |
| Language: | en |
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2023
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| _version_ | 1852709604737155072 |
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| author | Aiza Nazifa Binti Mohd Zahari |
| author_facet | Aiza Nazifa Binti Mohd Zahari |
| author_sort | Aiza Nazifa Binti Mohd Zahari |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Unit Commitment (UC) is the task in finding the most optimum generating schedule of
each generating unit. In determining UC, Distributed Generation (DG) would be one of
the factors that would influence the outcome of power generation as it would deploy
small – scaled technologies nearer to consumers. It would be able to compensate on
shortcomings of the power network i.e. power shortage or line interruption. A traditional
DG layout would require the use of only Non – Renewable Energy source (NREs) such
as coal that would have a significant impact on the environment. This paper will be
focusing on the integration of Renewable Energy Source (RES) which is Solar and
NREs which would be Micro Gas Turbine (MGT) into the DG layout with the use of
Mixed Integer Linear Programming (MILP) to solve the mathematical problem. The
integration of both energy source would reduce the operational cost. Results obtained
would also support that the power output from this planning would be able to meet with
the ever changing load demands. |
| format | Resource Types::text::Final Year Project |
| id | my.uniten.dspace-20616 |
| institution | Universiti Tenaga Nasional |
| language | en |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-206162025-12-16T19:26:01Z A Computational Intelligent Algorithm For Solving Unit Commitment Problem Aiza Nazifa Binti Mohd Zahari Full Thesis Format Unit Commitment (UC) is the task in finding the most optimum generating schedule of each generating unit. In determining UC, Distributed Generation (DG) would be one of the factors that would influence the outcome of power generation as it would deploy small – scaled technologies nearer to consumers. It would be able to compensate on shortcomings of the power network i.e. power shortage or line interruption. A traditional DG layout would require the use of only Non – Renewable Energy source (NREs) such as coal that would have a significant impact on the environment. This paper will be focusing on the integration of Renewable Energy Source (RES) which is Solar and NREs which would be Micro Gas Turbine (MGT) into the DG layout with the use of Mixed Integer Linear Programming (MILP) to solve the mathematical problem. The integration of both energy source would reduce the operational cost. Results obtained would also support that the power output from this planning would be able to meet with the ever changing load demands. 2023-05-03T15:08:45Z 2023-05-03T15:08:45Z 2019-10 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/20616 en application/pdf |
| spellingShingle | Full Thesis Format Aiza Nazifa Binti Mohd Zahari A Computational Intelligent Algorithm For Solving Unit Commitment Problem |
| title | A Computational Intelligent Algorithm For Solving Unit Commitment Problem |
| title_full | A Computational Intelligent Algorithm For Solving Unit Commitment Problem |
| title_fullStr | A Computational Intelligent Algorithm For Solving Unit Commitment Problem |
| title_full_unstemmed | A Computational Intelligent Algorithm For Solving Unit Commitment Problem |
| title_short | A Computational Intelligent Algorithm For Solving Unit Commitment Problem |
| title_sort | computational intelligent algorithm for solving unit commitment problem |
| topic | Full Thesis Format |
| url_provider | http://dspace.uniten.edu.my/ |