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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Bibliographic Details
Main Author:	Ibrahim, Nurul Ulya
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Production of electric energy or power Powerplants Central stations
Online Access:	https://ir.uitm.edu.my/id/eprint/67308/2/67308.pdf
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id	my-uitm-ir.67308
record_format	uketd_dc
spelling	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
spellingShingle	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

Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim

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