An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim

This project presents an artificial neural network (ANN) technique for determining optimum tapping ratio of tap changing transformer which will in turn minimise real power losses in electrical power system. Training data containing variety of load patterns, tap changing transformer ratio and real po...

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Bibliographic Details
Main Author:	Hashim, Nor Haidar
Format:	Thesis
Language:	English
Published:	2003
Online Access:	https://ir.uitm.edu.my/id/eprint/84530/1/84530.pdf
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id	my-uitm-ir.84530
record_format	uketd_dc
spelling	my-uitm-ir.845302024-03-12T02:21:32Z An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim 2003 Hashim, Nor Haidar This project presents an artificial neural network (ANN) technique for determining optimum tapping ratio of tap changing transformer which will in turn minimise real power losses in electrical power system. Training data containing variety of load patterns, tap changing transformer ratio and real power losses associated with each tapping are fed into a neural network. By using the Levenberg-Marquardt algorithm, a back propagation network is trained so that it predict the optimum tap ratio when unseen data are fed into the network. The technique was tested on 6-bus IEEE system and the result obtained shows that the proposed ANN technique is highly accurate, reliable and capable to predict at faster rate 2003 Thesis https://ir.uitm.edu.my/id/eprint/84530/ https://ir.uitm.edu.my/id/eprint/84530/1/84530.pdf text en public degree Universiti Teknologi Mara (UiTM) Faculty Electrical Engineering Abdul Rahman, Titik Khawa
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Rahman, Titik Khawa
description	This project presents an artificial neural network (ANN) technique for determining optimum tapping ratio of tap changing transformer which will in turn minimise real power losses in electrical power system. Training data containing variety of load patterns, tap changing transformer ratio and real power losses associated with each tapping are fed into a neural network. By using the Levenberg-Marquardt algorithm, a back propagation network is trained so that it predict the optimum tap ratio when unseen data are fed into the network. The technique was tested on 6-bus IEEE system and the result obtained shows that the proposed ANN technique is highly accurate, reliable and capable to predict at faster rate
format	Thesis
qualification_level	Bachelor degree
author	Hashim, Nor Haidar
spellingShingle	Hashim, Nor Haidar An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim
author_facet	Hashim, Nor Haidar
author_sort	Hashim, Nor Haidar
title	An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim
title_short	An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim
title_full	An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim
title_fullStr	An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim
title_full_unstemmed	An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim
title_sort	application of artificial neural network for determining the tap change ratio of oltc in minimizing real power loss in a power system / nor haidar hashim
granting_institution	Universiti Teknologi Mara (UiTM)
granting_department	Faculty Electrical Engineering
publishDate	2003
url	https://ir.uitm.edu.my/id/eprint/84530/1/84530.pdf
_version_	1794192015812984832

An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim

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