Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim

Optimal power flow (OPF) is one of the main functions of power system operation and control. This project presents a new technique for solving the optimal power flow problem, in a power system using an Evolutionary Programming and Immune Evolution Programming optimization technique. This study will...

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Main Author: Md Daim, Mohd Khairil Izwan
Format: Thesis
Language:English
Published: 2006
Online Access:https://ir.uitm.edu.my/id/eprint/84566/1/84566.pdf
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spelling my-uitm-ir.845662024-03-14T08:21:38Z Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim 2006 Md Daim, Mohd Khairil Izwan Optimal power flow (OPF) is one of the main functions of power system operation and control. This project presents a new technique for solving the optimal power flow problem, in a power system using an Evolutionary Programming and Immune Evolution Programming optimization technique. This study will utilize concept of Immune Evolutionary Programming (IEP) which is a combination of EP and AIS technique and compare the results to that obtained from Evolutionary Programming (EP) technique. The study explores two functions namely total loss minimization and total cost minimization as the objective fimction. Comparison was made in order to determine the base objective function to be used for the solving Optimal Power Flow (OPF) problem. The developed algorithm was tested against on IEEE 26 bus test system. 2006 Thesis https://ir.uitm.edu.my/id/eprint/84566/ https://ir.uitm.edu.my/id/eprint/84566/1/84566.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abdul Rahman, Titik Khawa
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abdul Rahman, Titik Khawa
description Optimal power flow (OPF) is one of the main functions of power system operation and control. This project presents a new technique for solving the optimal power flow problem, in a power system using an Evolutionary Programming and Immune Evolution Programming optimization technique. This study will utilize concept of Immune Evolutionary Programming (IEP) which is a combination of EP and AIS technique and compare the results to that obtained from Evolutionary Programming (EP) technique. The study explores two functions namely total loss minimization and total cost minimization as the objective fimction. Comparison was made in order to determine the base objective function to be used for the solving Optimal Power Flow (OPF) problem. The developed algorithm was tested against on IEEE 26 bus test system.
format Thesis
qualification_level Bachelor degree
author Md Daim, Mohd Khairil Izwan
spellingShingle Md Daim, Mohd Khairil Izwan
Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
author_facet Md Daim, Mohd Khairil Izwan
author_sort Md Daim, Mohd Khairil Izwan
title Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
title_short Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
title_full Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
title_fullStr Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
title_full_unstemmed Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
title_sort comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / mohd khairil izwan md daim
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2006
url https://ir.uitm.edu.my/id/eprint/84566/1/84566.pdf
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