Application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / Sabrita Mohamed

Recently research has shown that ANN is promising solution to many applications especially for non-linear problem in power system, which is difficult for conventional technique. The potential of application of ANN as an alternative approach for solving certain difficult power system problem where co...

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Bibliographic Details
Main Author:	Mohamed, Sabrita
Format:	Thesis
Language:	English
Published:	2004
Online Access:	https://ir.uitm.edu.my/id/eprint/84826/1/84826.pdf
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id	my-uitm-ir.84826
record_format	uketd_dc
spelling	my-uitm-ir.848262024-01-16T18:08:08Z Application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / Sabrita Mohamed 2004 Mohamed, Sabrita Recently research has shown that ANN is promising solution to many applications especially for non-linear problem in power system, which is difficult for conventional technique. The potential of application of ANN as an alternative approach for solving certain difficult power system problem where conventional methods have not achieved desired speed couldn't be understand. This report presents an application of Artificial Neural Network for determining compensating capacitor location, sizing and power loss minimum in power system. This training data was obtain from calculated capacitor location, sizing and power loss with Newton-Raphson method using Borland C++ program and apply to the artificial neural network using Back-propagation method in the MATLAB. The proposed technique was tested on 6 bus system. The result shows that the proposed ANN technique is highly accurate and capable predict at faster rate. 2004 Thesis https://ir.uitm.edu.my/id/eprint/84826/ https://ir.uitm.edu.my/id/eprint/84826/1/84826.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abdul Rahman, Titik Khawa
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Rahman, Titik Khawa
description	Recently research has shown that ANN is promising solution to many applications especially for non-linear problem in power system, which is difficult for conventional technique. The potential of application of ANN as an alternative approach for solving certain difficult power system problem where conventional methods have not achieved desired speed couldn't be understand. This report presents an application of Artificial Neural Network for determining compensating capacitor location, sizing and power loss minimum in power system. This training data was obtain from calculated capacitor location, sizing and power loss with Newton-Raphson method using Borland C++ program and apply to the artificial neural network using Back-propagation method in the MATLAB. The proposed technique was tested on 6 bus system. The result shows that the proposed ANN technique is highly accurate and capable predict at faster rate.
format	Thesis
qualification_level	Bachelor degree
author	Mohamed, Sabrita
spellingShingle	Mohamed, Sabrita Application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / Sabrita Mohamed
author_facet	Mohamed, Sabrita
author_sort	Mohamed, Sabrita
title	Application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / Sabrita Mohamed
title_short	Application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / Sabrita Mohamed
title_full	Application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / Sabrita Mohamed
title_fullStr	Application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / Sabrita Mohamed
title_full_unstemmed	Application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / Sabrita Mohamed
title_sort	application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / sabrita mohamed
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2004
url	https://ir.uitm.edu.my/id/eprint/84826/1/84826.pdf
_version_	1794192056080400384

Application of artificial neural network for determining compensating capacitor location, sizing loss minimization in a power system / Sabrita Mohamed

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