Contingency analysis of 15 bus-bar systems-conventional and artificial neural network / Huzeir Hamzah

The purpose of this thesis is to provide security for 15 bus bar systems. Any disturbance (line trip) that may occur will be studied in Contingency Analysis. The conventional method, Fast Decoupled Load Flow program is used to provide data from the system. These data is set as input to Artificial Ne...

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Main Author:	Hamzah, Huzeir
Format:	Thesis
Language:	English
Published:	2000
Subjects:	Power resources
Online Access:	https://ir.uitm.edu.my/id/eprint/84903/1/84903.pdf
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id	my-uitm-ir.84903
record_format	uketd_dc
spelling	my-uitm-ir.849032024-01-31T03:42:57Z Contingency analysis of 15 bus-bar systems-conventional and artificial neural network / Huzeir Hamzah 2000 Hamzah, Huzeir Power resources Electric apparatus and materials. Electric circuits. Electric networks The purpose of this thesis is to provide security for 15 bus bar systems. Any disturbance (line trip) that may occur will be studied in Contingency Analysis. The conventional method, Fast Decoupled Load Flow program is used to provide data from the system. These data is set as input to Artificial Neural Network, with particular reference to the Back-Propagation Network and Modular Neural Network. The result from Fast Decoupled Load Flow and Artificial Neural Network outputs is then compared. From the result, it reveals that Artificial Neural Network can be a helping tool for Contingency Analysis. Back Propagation Network can be used to predict power flow of the system with better accuracy compared to Modular Neural Network. 2000 Thesis https://ir.uitm.edu.my/id/eprint/84903/ https://ir.uitm.edu.my/id/eprint/84903/1/84903.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Arsad, Pauziah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Arsad, Pauziah
topic	Power resources Power resources
spellingShingle	Power resources Power resources Hamzah, Huzeir Contingency analysis of 15 bus-bar systems-conventional and artificial neural network / Huzeir Hamzah
description	The purpose of this thesis is to provide security for 15 bus bar systems. Any disturbance (line trip) that may occur will be studied in Contingency Analysis. The conventional method, Fast Decoupled Load Flow program is used to provide data from the system. These data is set as input to Artificial Neural Network, with particular reference to the Back-Propagation Network and Modular Neural Network. The result from Fast Decoupled Load Flow and Artificial Neural Network outputs is then compared. From the result, it reveals that Artificial Neural Network can be a helping tool for Contingency Analysis. Back Propagation Network can be used to predict power flow of the system with better accuracy compared to Modular Neural Network.
format	Thesis
qualification_level	Bachelor degree
author	Hamzah, Huzeir
author_facet	Hamzah, Huzeir
author_sort	Hamzah, Huzeir
title	Contingency analysis of 15 bus-bar systems-conventional and artificial neural network / Huzeir Hamzah
title_short	Contingency analysis of 15 bus-bar systems-conventional and artificial neural network / Huzeir Hamzah
title_full	Contingency analysis of 15 bus-bar systems-conventional and artificial neural network / Huzeir Hamzah
title_fullStr	Contingency analysis of 15 bus-bar systems-conventional and artificial neural network / Huzeir Hamzah
title_full_unstemmed	Contingency analysis of 15 bus-bar systems-conventional and artificial neural network / Huzeir Hamzah
title_sort	contingency analysis of 15 bus-bar systems-conventional and artificial neural network / huzeir hamzah
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2000
url	https://ir.uitm.edu.my/id/eprint/84903/1/84903.pdf
_version_	1794192071020511232

Contingency analysis of 15 bus-bar systems-conventional and artificial neural network / Huzeir Hamzah

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