Staff View: Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli

Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli

This paper propose a solution to unit commitment problem with wind power using artificial immune evolutionary programming The objective of this paper is to find the suitable generation scheduling which can minimize the operation cost with subjmted to various constrain The main idea of this paper is...

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Main Author:	Ramli, Mohamad Fitri
Format:	Article
Language:	English
Subjects:	TK Electrical engineering. Electronics. Nuclear engineering
Online Access:	https://ir.uitm.edu.my/id/eprint/108282/1/108282.pdf https://ir.uitm.edu.my/id/eprint/108282/
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id	my.uitm.ir.108282
record_format	eprints
spelling	my.uitm.ir.1082822024-12-19T04:04:35Z https://ir.uitm.edu.my/id/eprint/108282/ Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli Ramli, Mohamad Fitri TK Electrical engineering. Electronics. Nuclear engineering This paper propose a solution to unit commitment problem with wind power using artificial immune evolutionary programming The objective of this paper is to find the suitable generation scheduling which can minimize the operation cost with subjmted to various constrain The main idea of this paper is to integrate the use of Artificial fmmune Evolutionary Programming as optimization technique towards Unit Commitment Other than that, this paper also aiming to ieview the effect of addition wind power to the Unit Commitment problem solution. MATLAB prugramming lenguage was used to execute the prngram using l0 set of generator daa with several constrain like power balancg and generation limit .The process of Artificid Immure Evolutionary Programming including of initialization, cloning cost calculation, mutation, sorting and combine and convergences test The result are shown to verify the performance of Artificial Immune Evolutionary Programming technique Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/108282/1/108282.pdf Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli. pp. 1-7.
institution	Universiti Teknologi Mara
building	Tun Abdul Razak Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Mara
content_source	UiTM Institutional Repository
url_provider	http://ir.uitm.edu.my/
language	English
topic	TK Electrical engineering. Electronics. Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics. Nuclear engineering Ramli, Mohamad Fitri Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli
description	This paper propose a solution to unit commitment problem with wind power using artificial immune evolutionary programming The objective of this paper is to find the suitable generation scheduling which can minimize the operation cost with subjmted to various constrain The main idea of this paper is to integrate the use of Artificial fmmune Evolutionary Programming as optimization technique towards Unit Commitment Other than that, this paper also aiming to ieview the effect of addition wind power to the Unit Commitment problem solution. MATLAB prugramming lenguage was used to execute the prngram using l0 set of generator daa with several constrain like power balancg and generation limit .The process of Artificid Immure Evolutionary Programming including of initialization, cloning cost calculation, mutation, sorting and combine and convergences test The result are shown to verify the performance of Artificial Immune Evolutionary Programming technique
format	Article
author	Ramli, Mohamad Fitri
author_facet	Ramli, Mohamad Fitri
author_sort	Ramli, Mohamad Fitri
title	Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli
title_short	Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli
title_full	Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli
title_fullStr	Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli
title_full_unstemmed	Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli
title_sort	solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / mohamad fitri ramli
url	https://ir.uitm.edu.my/id/eprint/108282/1/108282.pdf https://ir.uitm.edu.my/id/eprint/108282/
_version_	1819914021182111744
score	13.223943

Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli

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