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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2009
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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 |
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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 |
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1804889757827727360 |