Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / Mohd Reza Sulaiman
This paper presents the enhancement of system load ability through optimal reactive power dispatch technique using a newly developed optimization technique, termed as Multi agent Immune Evolutionary Programming (MAIEP). The concept of MAIEP is developed based on the combination of Multi agent System...
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my-uitm-ir.847762024-07-30T01:58:42Z Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / Mohd Reza Sulaiman 2010 Sulaiman, Mohd Reza Immunology This paper presents the enhancement of system load ability through optimal reactive power dispatch technique using a newly developed optimization technique, termed as Multi agent Immune Evolutionary Programming (MAIEP). The concept of MAIEP is developed based on the combination of Multi agent System (MAS), Artificial Immune System (AIS) and Evolutionary Programming (EP). In realizing the effectiveness of the proposed technique, validation is conducted on the IEEE-30-Bus Reliability Test System. The program was developed by using MATLAB software. The main propose of this project is improving load ability system by using (EP) and (MAIEP) techniques. From the result, it shows that MAIEP has faster computation time compared to EP technique in maximum load ability improvement in the system. 2010 Thesis https://ir.uitm.edu.my/id/eprint/84776/ https://ir.uitm.edu.my/id/eprint/84776/1/84776.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Aminudin, Norziana |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
language |
English |
advisor |
Aminudin, Norziana |
topic |
Immunology |
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Immunology Sulaiman, Mohd Reza Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / Mohd Reza Sulaiman |
description |
This paper presents the enhancement of system load ability through optimal reactive power dispatch technique using a newly developed optimization technique, termed as Multi agent Immune Evolutionary Programming (MAIEP). The concept of MAIEP is developed based on the combination of Multi agent System (MAS), Artificial Immune System (AIS) and Evolutionary Programming (EP). In realizing the effectiveness of the proposed technique, validation is conducted on the IEEE-30-Bus Reliability Test System. The program was developed by using MATLAB software. The main propose of this project is improving load ability system by using (EP) and (MAIEP) techniques. From the result, it shows that MAIEP has faster computation time compared to EP technique in maximum load ability improvement in the system. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Sulaiman, Mohd Reza |
author_facet |
Sulaiman, Mohd Reza |
author_sort |
Sulaiman, Mohd Reza |
title |
Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / Mohd Reza Sulaiman |
title_short |
Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / Mohd Reza Sulaiman |
title_full |
Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / Mohd Reza Sulaiman |
title_fullStr |
Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / Mohd Reza Sulaiman |
title_full_unstemmed |
Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / Mohd Reza Sulaiman |
title_sort |
comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / mohd reza sulaiman |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2010 |
url |
https://ir.uitm.edu.my/id/eprint/84776/1/84776.pdf |
_version_ |
1811768703202623488 |