Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly

Electrical power system are designed and operated to meet the continuous variation of power demand. The optimal Reactive Power Planning (RPP) is one of a vital approach to reduce total system loss and hence minimize the loss in operation of the system. Thus, this paper presents the enhancement of lo...

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Main Author:	Mat Ramly, Aziz
Format:	Thesis
Language:	English
Published:	2011
Online Access:	https://ir.uitm.edu.my/id/eprint/84553/1/84553.pdf
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spelling	my-uitm-ir.845532024-02-19T01:40:41Z Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly 2011 Mat Ramly, Aziz Electrical power system are designed and operated to meet the continuous variation of power demand. The optimal Reactive Power Planning (RPP) is one of a vital approach to reduce total system loss and hence minimize the loss in operation of the system. Thus, this paper presents the enhancement of loss minimization in power system through optimal RPP using an optimization technique, termed as Multiagent Immune Evolutionary Programming (MAIEP) technique. The concept of MAIEP is developed base on combination of Multiagent System (MAS), Artificial Immune System (AIS) and Evolutionary Programming (EP). In realizing the effectiveness of the purposed technique, validation is conducted on the IEEE 30-Bus Reliability Test System (RTS). The program also was developed by using MATLAB software. Initially for this research in evaluating the performance of MAIEP technique to reduce the total power loss is, by monitoring the pre-optimization condition, which didn't use any optimization technique. Then, the result from pre-optimization will be compare with the result that obtained from post optimization where use the RPP and MAIEP technique. From the result that be obtained during post optimization, it show that the performance of implementation of RPP as optimal power flow (OPF) approach utilizing MAIEP optimization technique with minimize the total power losses as the objective function has given a significant in reduction total power loss in power system. 2011 Thesis https://ir.uitm.edu.my/id/eprint/84553/ https://ir.uitm.edu.my/id/eprint/84553/1/84553.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Aminudin, Norziana
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Aminudin, Norziana
description	Electrical power system are designed and operated to meet the continuous variation of power demand. The optimal Reactive Power Planning (RPP) is one of a vital approach to reduce total system loss and hence minimize the loss in operation of the system. Thus, this paper presents the enhancement of loss minimization in power system through optimal RPP using an optimization technique, termed as Multiagent Immune Evolutionary Programming (MAIEP) technique. The concept of MAIEP is developed base on combination of Multiagent System (MAS), Artificial Immune System (AIS) and Evolutionary Programming (EP). In realizing the effectiveness of the purposed technique, validation is conducted on the IEEE 30-Bus Reliability Test System (RTS). The program also was developed by using MATLAB software. Initially for this research in evaluating the performance of MAIEP technique to reduce the total power loss is, by monitoring the pre-optimization condition, which didn't use any optimization technique. Then, the result from pre-optimization will be compare with the result that obtained from post optimization where use the RPP and MAIEP technique. From the result that be obtained during post optimization, it show that the performance of implementation of RPP as optimal power flow (OPF) approach utilizing MAIEP optimization technique with minimize the total power losses as the objective function has given a significant in reduction total power loss in power system.
format	Thesis
qualification_level	Bachelor degree
author	Mat Ramly, Aziz
spellingShingle	Mat Ramly, Aziz Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly
author_facet	Mat Ramly, Aziz
author_sort	Mat Ramly, Aziz
title	Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly
title_short	Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly
title_full	Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly
title_fullStr	Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly
title_full_unstemmed	Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly
title_sort	loss minimization in power system utilizing multiagent immune evolutionary programming (maiep) technique / aziz mat ramly
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2011
url	https://ir.uitm.edu.my/id/eprint/84553/1/84553.pdf
_version_	1794192019857342464

Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly

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