Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan

This thesis presents, the study involves in the development of multi population Evolutionary Programming for Distributed Generation (DG) installation in distribution systems. While installing the DG into the system, improve on the voltage profile and reduction of power loss based on the optimal loca...

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Main Author:	Adnan, Mohd Nazmi
Format:	Thesis
Language:	English
Published:	2009
Subjects:	Evolutionary programming (Computer science) Genetic algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/86943/1/86943.PDF
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id	my-uitm-ir.86943
record_format	uketd_dc
spelling	my-uitm-ir.869432024-03-25T00:12:47Z Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan 2009 Adnan, Mohd Nazmi Evolutionary programming (Computer science). Genetic algorithms This thesis presents, the study involves in the development of multi population Evolutionary Programming for Distributed Generation (DG) installation in distribution systems. While installing the DG into the system, improve on the voltage profile and reduction of power loss based on the optimal location and sizing of DG. Generally, DG is defined as a small-scale electricity generation which the electricity is generated in large power stations to achieve cost reduction. 2009 Thesis https://ir.uitm.edu.my/id/eprint/86943/ https://ir.uitm.edu.my/id/eprint/86943/1/86943.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Musirin, Ismail (Assoc. Prof. Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Musirin, Ismail (Assoc. Prof. Dr.)
topic	Evolutionary programming (Computer science) Genetic algorithms
spellingShingle	Evolutionary programming (Computer science) Genetic algorithms Adnan, Mohd Nazmi Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan
description	This thesis presents, the study involves in the development of multi population Evolutionary Programming for Distributed Generation (DG) installation in distribution systems. While installing the DG into the system, improve on the voltage profile and reduction of power loss based on the optimal location and sizing of DG. Generally, DG is defined as a small-scale electricity generation which the electricity is generated in large power stations to achieve cost reduction.
format	Thesis
qualification_level	Bachelor degree
author	Adnan, Mohd Nazmi
author_facet	Adnan, Mohd Nazmi
author_sort	Adnan, Mohd Nazmi
title	Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan
title_short	Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan
title_full	Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan
title_fullStr	Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan
title_full_unstemmed	Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan
title_sort	multi population traditional evolutionary programming approach for distributed generation / mohd nazmi adnan
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	https://ir.uitm.edu.my/id/eprint/86943/1/86943.PDF
_version_	1804889757827727360

Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan

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