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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my-uitm-ir.673082023-02-03T15:28:43Z Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim 2016 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 https://ir.uitm.edu.my/id/eprint/67308/ https://ir.uitm.edu.my/id/eprint/67308/2/67308.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 |
Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations |
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Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations Ibrahim, Nurul Ulya Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim |
description |
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. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Ibrahim, Nurul Ulya |
author_facet |
Ibrahim, Nurul Ulya |
author_sort |
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 |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2016 |
url |
https://ir.uitm.edu.my/id/eprint/67308/2/67308.pdf |
_version_ |
1783735677357129728 |