Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali

This thesis presents the development of an Artificial Neural Network (ANN) based technique for reactive power dispatch that aims to improve voltage stability of a power system. In this study, a multi-layer feed forward ANN with error back propagation algorithm was used. The proposed method was teste...

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Main Author:	Norjali, Rasida
Format:	Thesis
Language:	English
Published:	1995
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/68745/1/68745.pdf
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id	my-uitm-ir.68745
record_format	uketd_dc
spelling	my-uitm-ir.687452023-01-04T07:04:30Z Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali 1995 Norjali, Rasida Neural networks (Computer science) Dynamoelectric machinery and auxiliaries.Including generators, motors, transformers This thesis presents the development of an Artificial Neural Network (ANN) based technique for reactive power dispatch that aims to improve voltage stability of a power system. In this study, a multi-layer feed forward ANN with error back propagation algorithm was used. The proposed method was tested on two models, which are the 6 bus, and IEEE 14 bus interconnected systems. The testing and training data were generated by Fast Decoupled Load Flow method and the voltage stability at a load bus was measured by evaluating the voltage stability index, i.e. L-factor, developed in reference [1]. The results show that the ANN could be used to determine the value of reactive power and to predict voltage stability level for power system, since they are in close agreement with the calculating results. 1995 Thesis https://ir.uitm.edu.my/id/eprint/68745/ https://ir.uitm.edu.my/id/eprint/68745/1/68745.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
topic	Neural networks (Computer science) Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Neural networks (Computer science) Norjali, Rasida Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali
description	This thesis presents the development of an Artificial Neural Network (ANN) based technique for reactive power dispatch that aims to improve voltage stability of a power system. In this study, a multi-layer feed forward ANN with error back propagation algorithm was used. The proposed method was tested on two models, which are the 6 bus, and IEEE 14 bus interconnected systems. The testing and training data were generated by Fast Decoupled Load Flow method and the voltage stability at a load bus was measured by evaluating the voltage stability index, i.e. L-factor, developed in reference [1]. The results show that the ANN could be used to determine the value of reactive power and to predict voltage stability level for power system, since they are in close agreement with the calculating results.
format	Thesis
qualification_level	Bachelor degree
author	Norjali, Rasida
author_facet	Norjali, Rasida
author_sort	Norjali, Rasida
title	Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali
title_short	Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali
title_full	Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali
title_fullStr	Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali
title_full_unstemmed	Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali
title_sort	reactive power dispatch incooperating voltage stability improvement using artificial neural network / rasida norjali
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	1995
url	https://ir.uitm.edu.my/id/eprint/68745/1/68745.pdf
_version_	1783735806594121728

Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali

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