Expansion power system transmission using ant colony optimization / Izzataswad Ibrahim

This thesis presents an application of ant colony optimization (ACO) to optimization the expansion transmission in power system. The main objective of this research is to find the lowest investment total cost in transmission network. This analysis are using at 24 bus reliability test system (RTS) fo...

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Main Author: Ibrahim, Izzataswad
Format: Thesis
Language:English
Published: 2015
Online Access:https://ir.uitm.edu.my/id/eprint/84608/1/84608.pdf
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spelling my-uitm-ir.846082024-02-07T03:22:36Z Expansion power system transmission using ant colony optimization / Izzataswad Ibrahim 2015 Ibrahim, Izzataswad This thesis presents an application of ant colony optimization (ACO) to optimization the expansion transmission in power system. The main objective of this research is to find the lowest investment total cost in transmission network. This analysis are using at 24 bus reliability test system (RTS) for transmission expansion analysis, the results show, the ant colony optimization is capable to deliver a good solutions for relatively in large systems[l]. Ant colony optimization represent the behavior of ant, when the ants come out of their nest to find food, ants will leave their pheromone. Pheromone intended to make such as a track to came back again at nest[2], after take a long distance of trail the pheromone going evaporation with ambient temperature its make ants not interested to use that trail. Behavior of ant only attract and more interested at track have high pheromone intensity, high pheromone happen when too many ants through that trail [3] and high pheromone occurs at short distance of trail. 2015 Thesis https://ir.uitm.edu.my/id/eprint/84608/ https://ir.uitm.edu.my/id/eprint/84608/1/84608.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abdul Latip, Mohd Fuad
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abdul Latip, Mohd Fuad
description This thesis presents an application of ant colony optimization (ACO) to optimization the expansion transmission in power system. The main objective of this research is to find the lowest investment total cost in transmission network. This analysis are using at 24 bus reliability test system (RTS) for transmission expansion analysis, the results show, the ant colony optimization is capable to deliver a good solutions for relatively in large systems[l]. Ant colony optimization represent the behavior of ant, when the ants come out of their nest to find food, ants will leave their pheromone. Pheromone intended to make such as a track to came back again at nest[2], after take a long distance of trail the pheromone going evaporation with ambient temperature its make ants not interested to use that trail. Behavior of ant only attract and more interested at track have high pheromone intensity, high pheromone happen when too many ants through that trail [3] and high pheromone occurs at short distance of trail.
format Thesis
qualification_level Bachelor degree
author Ibrahim, Izzataswad
spellingShingle Ibrahim, Izzataswad
Expansion power system transmission using ant colony optimization / Izzataswad Ibrahim
author_facet Ibrahim, Izzataswad
author_sort Ibrahim, Izzataswad
title Expansion power system transmission using ant colony optimization / Izzataswad Ibrahim
title_short Expansion power system transmission using ant colony optimization / Izzataswad Ibrahim
title_full Expansion power system transmission using ant colony optimization / Izzataswad Ibrahim
title_fullStr Expansion power system transmission using ant colony optimization / Izzataswad Ibrahim
title_full_unstemmed Expansion power system transmission using ant colony optimization / Izzataswad Ibrahim
title_sort expansion power system transmission using ant colony optimization / izzataswad ibrahim
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2015
url https://ir.uitm.edu.my/id/eprint/84608/1/84608.pdf
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