Minimum load shedding for improving total loss during line outage contingency using evolutionary programming technique / Wan Nur Eliana Afif Wan Afandie

This project presents a methodology for solving minimum load shedding problem during line contingency by using Evolutionary Programming (EP) technique in order to minimize the losses and maximize the minimum voltage in the power system. This case study has been developed through the Evolutionary Pro...

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Main Author: Wan Afandie, Wan Nur Eliana Afif
Format: Thesis
Language:English
Published: 2010
Online Access:https://ir.uitm.edu.my/id/eprint/84522/1/84522.pdf
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spelling my-uitm-ir.845222024-02-19T01:48:09Z Minimum load shedding for improving total loss during line outage contingency using evolutionary programming technique / Wan Nur Eliana Afif Wan Afandie 2010 Wan Afandie, Wan Nur Eliana Afif This project presents a methodology for solving minimum load shedding problem during line contingency by using Evolutionary Programming (EP) technique in order to minimize the losses and maximize the minimum voltage in the power system. This case study has been developed through the Evolutionary Programming (EP) technique using MATLAB software. This study tested two fitness functions. They are the maximization of minimum voltage and the total losses minimization in a power system. Comparison in the results obtained was made in order to determine the best fitness function to be used in solving the minimum load shedding problem. The proposed technique was tested on the IEEE 30-bus reliability test system. 2010 Thesis https://ir.uitm.edu.my/id/eprint/84522/ https://ir.uitm.edu.my/id/eprint/84522/1/84522.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
description This project presents a methodology for solving minimum load shedding problem during line contingency by using Evolutionary Programming (EP) technique in order to minimize the losses and maximize the minimum voltage in the power system. This case study has been developed through the Evolutionary Programming (EP) technique using MATLAB software. This study tested two fitness functions. They are the maximization of minimum voltage and the total losses minimization in a power system. Comparison in the results obtained was made in order to determine the best fitness function to be used in solving the minimum load shedding problem. The proposed technique was tested on the IEEE 30-bus reliability test system.
format Thesis
qualification_level Bachelor degree
author Wan Afandie, Wan Nur Eliana Afif
spellingShingle Wan Afandie, Wan Nur Eliana Afif
Minimum load shedding for improving total loss during line outage contingency using evolutionary programming technique / Wan Nur Eliana Afif Wan Afandie
author_facet Wan Afandie, Wan Nur Eliana Afif
author_sort Wan Afandie, Wan Nur Eliana Afif
title Minimum load shedding for improving total loss during line outage contingency using evolutionary programming technique / Wan Nur Eliana Afif Wan Afandie
title_short Minimum load shedding for improving total loss during line outage contingency using evolutionary programming technique / Wan Nur Eliana Afif Wan Afandie
title_full Minimum load shedding for improving total loss during line outage contingency using evolutionary programming technique / Wan Nur Eliana Afif Wan Afandie
title_fullStr Minimum load shedding for improving total loss during line outage contingency using evolutionary programming technique / Wan Nur Eliana Afif Wan Afandie
title_full_unstemmed Minimum load shedding for improving total loss during line outage contingency using evolutionary programming technique / Wan Nur Eliana Afif Wan Afandie
title_sort minimum load shedding for improving total loss during line outage contingency using evolutionary programming technique / wan nur eliana afif wan afandie
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/84522/1/84522.pdf
_version_ 1794192014063960064