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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2005
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my.uitm.ir.780362023-07-05T07:49:36Z https://ir.uitm.edu.my/id/eprint/78036/ Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/78036/1/78036.pdf Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude. (2005) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
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Evolutionary programming (Computer science). Genetic algorithms Md. Jude, Marleyana Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude |
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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. |
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Thesis |
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Md. Jude, Marleyana |
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Md. Jude, Marleyana |
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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 |
publishDate |
2005 |
url |
https://ir.uitm.edu.my/id/eprint/78036/1/78036.pdf https://ir.uitm.edu.my/id/eprint/78036/ |
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1772815548166438912 |
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13.211869 |