Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim
This thesis presents a solution to generation expansion planning problem based on Shuffled Frog Leaping Algorithm (SFLA). The proposed SFLA in this study is developed using Matlab programming. This method is tested for 15 existing power plant and five generation candidates within 10 years of plannin...
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2016
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my.uitm.ir.673082023-02-03T15:28:43Z https://ir.uitm.edu.my/id/eprint/67308/ Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim Ibrahim, Nurul Ulya Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This thesis presents a solution to generation expansion planning problem based on Shuffled Frog Leaping Algorithm (SFLA). The proposed SFLA in this study is developed using Matlab programming. This method is tested for 15 existing power plant and five generation candidates within 10 years of planning. The simulation results obtained using the proposed algorithm show that the minimum cost can be obtained for types of candidate. 2016 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/67308/2/67308.pdf Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim. (2016) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
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Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission |
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Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission Ibrahim, Nurul Ulya Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim |
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This thesis presents a solution to generation expansion planning problem based on Shuffled Frog Leaping Algorithm (SFLA). The proposed SFLA in this study is developed using Matlab programming. This method is tested for 15 existing power plant and five generation candidates within 10 years of planning. The simulation results obtained using the proposed algorithm show that the minimum cost can be obtained for types of candidate. |
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Thesis |
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Ibrahim, Nurul Ulya |
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Ibrahim, Nurul Ulya |
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Ibrahim, Nurul Ulya |
title |
Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim |
title_short |
Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim |
title_full |
Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim |
title_fullStr |
Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim |
title_full_unstemmed |
Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim |
title_sort |
application of shuffled frog leaping algorithm (sfla) to long term generation expansion planning / nurul ulya ibrahim |
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2016 |
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https://ir.uitm.edu.my/id/eprint/67308/2/67308.pdf https://ir.uitm.edu.my/id/eprint/67308/ |
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