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Voltage stability prediction in power system using artificial neural network: article / Irfan Hanafi Jamaluddin

Voltage instability has become one of the sudden interest in modem power system industry since it can initiate a critical event called voltage collapse or blackout in a system. Therefore, voltage stability management is vital in order to avoid loss of power and operating cost. This paper presents an...

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Main Author: Jamaluddin, Irfan Hanafi
Format: Article
Language:English
Published: 2014
Online Access:https://ir.uitm.edu.my/id/eprint/105418/1/105418.pdf
https://ir.uitm.edu.my/id/eprint/105418/
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spelling my.uitm.ir.1054182024-10-23T02:33:42Z https://ir.uitm.edu.my/id/eprint/105418/ Voltage stability prediction in power system using artificial neural network: article / Irfan Hanafi Jamaluddin Jamaluddin, Irfan Hanafi Voltage instability has become one of the sudden interest in modem power system industry since it can initiate a critical event called voltage collapse or blackout in a system. Therefore, voltage stability management is vital in order to avoid loss of power and operating cost. This paper presents an application of Fast Voltage Stability Index (FVSI) and Artificial Neural Network (ANN) in determining the voltage stability for IEEE 30-Bus System. In this project, different load variations will be implemented which based on reactive power for voltage stability analysis. FVSI for each line will be calculated and the weakest line which has high value of FVSI and bus which has the lowest voltage will be identified. Next, the overall data from FVSI analysis will be collected and undergo training and testing in a multi-layer Feed Forward ANN for voltage stability determination. The simulation of FVSI and ANN is executed using MATLAB R2011 a software. 2014 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/105418/1/105418.pdf Voltage stability prediction in power system using artificial neural network: article / Irfan Hanafi Jamaluddin. (2014) pp. 1-6.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Voltage instability has become one of the sudden interest in modem power system industry since it can initiate a critical event called voltage collapse or blackout in a system. Therefore, voltage stability management is vital in order to avoid loss of power and operating cost. This paper presents an application of Fast Voltage Stability Index (FVSI) and Artificial Neural Network (ANN) in determining the voltage stability for IEEE 30-Bus System. In this project, different load variations will be implemented which based on reactive power for voltage stability analysis. FVSI for each line will be calculated and the weakest line which has high value of FVSI and bus which has the lowest voltage will be identified. Next, the overall data from FVSI analysis will be collected and undergo training and testing in a multi-layer Feed Forward ANN for voltage stability determination. The simulation of FVSI and ANN is executed using MATLAB R2011 a software.
format Article
author Jamaluddin, Irfan Hanafi
spellingShingle Jamaluddin, Irfan Hanafi
Voltage stability prediction in power system using artificial neural network: article / Irfan Hanafi Jamaluddin
author_facet Jamaluddin, Irfan Hanafi
author_sort Jamaluddin, Irfan Hanafi
title Voltage stability prediction in power system using artificial neural network: article / Irfan Hanafi Jamaluddin
title_short Voltage stability prediction in power system using artificial neural network: article / Irfan Hanafi Jamaluddin
title_full Voltage stability prediction in power system using artificial neural network: article / Irfan Hanafi Jamaluddin
title_fullStr Voltage stability prediction in power system using artificial neural network: article / Irfan Hanafi Jamaluddin
title_full_unstemmed Voltage stability prediction in power system using artificial neural network: article / Irfan Hanafi Jamaluddin
title_sort voltage stability prediction in power system using artificial neural network: article / irfan hanafi jamaluddin
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/105418/1/105418.pdf
https://ir.uitm.edu.my/id/eprint/105418/
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score 13.211869

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