Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude

This project report presents an Evolutionary Programming optimization technique for optimal reconfiguration of radial distribution network for loss minimization and voltage improvement in the system. Evolutionary programming is used to determine the best tie-line and sectionalizing switch combinatio...

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Main Author: Md. Jude, Marleyana
Format: Thesis
Language:English
Published: 2005
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/78036/1/78036.pdf
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spelling my-uitm-ir.780362023-07-05T07:49:36Z Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude 2005 Md. Jude, Marleyana Evolutionary programming (Computer science). Genetic algorithms This project report presents an Evolutionary Programming optimization technique for optimal reconfiguration of radial distribution network for loss minimization and voltage improvement in the system. Evolutionary programming is used to determine the best tie-line and sectionalizing switch combination, minimum losses and voltage improvement in the system. The proposed method has been tested on standard IEEE 33 bus distribution system. The results have been compared with initial network. From the result, the developed technique is able to identify the best tie-line and sectionalizing switch pair that with minimize the total losses in the system and also improve the voltage for locating the tie switches and providing the minimum number of sectionalizing switches in the branches. 2005 Thesis https://ir.uitm.edu.my/id/eprint/78036/ https://ir.uitm.edu.my/id/eprint/78036/1/78036.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abd. Rahman, Titik Khawa
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abd. Rahman, Titik Khawa
topic Evolutionary programming (Computer science)
Genetic algorithms
spellingShingle Evolutionary programming (Computer science)
Genetic algorithms
Md. Jude, Marleyana
Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude
description This project report presents an Evolutionary Programming optimization technique for optimal reconfiguration of radial distribution network for loss minimization and voltage improvement in the system. Evolutionary programming is used to determine the best tie-line and sectionalizing switch combination, minimum losses and voltage improvement in the system. The proposed method has been tested on standard IEEE 33 bus distribution system. The results have been compared with initial network. From the result, the developed technique is able to identify the best tie-line and sectionalizing switch pair that with minimize the total losses in the system and also improve the voltage for locating the tie switches and providing the minimum number of sectionalizing switches in the branches.
format Thesis
qualification_level Bachelor degree
author Md. Jude, Marleyana
author_facet Md. Jude, Marleyana
author_sort Md. Jude, Marleyana
title Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude
title_short Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude
title_full Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude
title_fullStr Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude
title_full_unstemmed Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude
title_sort multiobjective evolutionary programming based for network reconfiguration in a distribution system / marleyana md. jude
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2005
url https://ir.uitm.edu.my/id/eprint/78036/1/78036.pdf
_version_ 1783736200474918912