Quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / Mohamad Nazrin Mohamad Najib

This paper presents an optimization technique used to identify optimal network reconfiguration. Network reconfiguration is performed by altering the topological structure of the distribution feeder. It provides an efficient way to control the tie-line and sectionalizing switches. By reconfiguring th...

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Main Author:	Mohamad Najib, Mohamad Nazrin
Format:	Thesis
Language:	English
Published:	2013
Online Access:	https://ir.uitm.edu.my/id/eprint/84894/1/84894.pdf
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id	my-uitm-ir.84894
record_format	uketd_dc
spelling	my-uitm-ir.848942024-02-16T09:14:20Z Quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / Mohamad Nazrin Mohamad Najib 2013 Mohamad Najib, Mohamad Nazrin This paper presents an optimization technique used to identify optimal network reconfiguration. Network reconfiguration is performed by altering the topological structure of the distribution feeder. It provides an efficient way to control the tie-line and sectionalizing switches. By reconfiguring the network, voltage stability can be improved and at the same time system total losses can also be minimized for particular set of loads in a distribution system. This however, due to its difficulties on optimizing technique that has been long used to developed, adopted as well as to improve this particular application, the proposed technique was developed based on the hybridization of quantum mechanics concepts with the Evolutionary Programming (EP) optimization and it is named as Quantum-inspired Evolutionary Programming (QI-EP). This paper utilized IEEE 69- bus system in this research. Other than minimizes the loss and stabilizes the voltage in network reconfiguration system, the research also study the performance of Quantum-inspired Evolutionary Programming (QI-EP) and identify which is the best loss minimization technique for optimal network reconfiguration. 2013 Thesis https://ir.uitm.edu.my/id/eprint/84894/ https://ir.uitm.edu.my/id/eprint/84894/1/84894.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Ahmad, Norlee Husnafeza
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ahmad, Norlee Husnafeza
description	This paper presents an optimization technique used to identify optimal network reconfiguration. Network reconfiguration is performed by altering the topological structure of the distribution feeder. It provides an efficient way to control the tie-line and sectionalizing switches. By reconfiguring the network, voltage stability can be improved and at the same time system total losses can also be minimized for particular set of loads in a distribution system. This however, due to its difficulties on optimizing technique that has been long used to developed, adopted as well as to improve this particular application, the proposed technique was developed based on the hybridization of quantum mechanics concepts with the Evolutionary Programming (EP) optimization and it is named as Quantum-inspired Evolutionary Programming (QI-EP). This paper utilized IEEE 69- bus system in this research. Other than minimizes the loss and stabilizes the voltage in network reconfiguration system, the research also study the performance of Quantum-inspired Evolutionary Programming (QI-EP) and identify which is the best loss minimization technique for optimal network reconfiguration.
format	Thesis
qualification_level	Bachelor degree
author	Mohamad Najib, Mohamad Nazrin
spellingShingle	Mohamad Najib, Mohamad Nazrin Quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / Mohamad Nazrin Mohamad Najib
author_facet	Mohamad Najib, Mohamad Nazrin
author_sort	Mohamad Najib, Mohamad Nazrin
title	Quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / Mohamad Nazrin Mohamad Najib
title_short	Quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / Mohamad Nazrin Mohamad Najib
title_full	Quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / Mohamad Nazrin Mohamad Najib
title_fullStr	Quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / Mohamad Nazrin Mohamad Najib
title_full_unstemmed	Quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / Mohamad Nazrin Mohamad Najib
title_sort	quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / mohamad nazrin mohamad najib
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/84894/1/84894.pdf
_version_	1794192069047091200

Quantum inspired evolutionary programming optimization technique for optimal network reconfiguration approach in distribution system / Mohamad Nazrin Mohamad Najib

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