FPGA implementation for fault detection on a power transmission lines

Transmission lines are designed to transfer electric power from source locations to distribution networks. However, their lengths are exposed to various faults. Protective relay and fault recorder systems, based on fundamental power frequency signals, are installed to isolate and the faulty line and...

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Main Author:	Omran, Ahmed Mohamed
Format:	Thesis
Language:	English
Published:	2009
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/12356/1/AhmedMohamedOmranMFKE2009.pdf http://eprints.utm.my/id/eprint/12356/
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Institution:	Universiti Teknologi Malaysia
Language:	English

id	my.utm.12356
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spelling	my.utm.123562018-06-26T07:50:17Z http://eprints.utm.my/id/eprint/12356/ FPGA implementation for fault detection on a power transmission lines Omran, Ahmed Mohamed TK Electrical engineering. Electronics Nuclear engineering Transmission lines are designed to transfer electric power from source locations to distribution networks. However, their lengths are exposed to various faults. Protective relay and fault recorder systems, based on fundamental power frequency signals, are installed to isolate and the faulty line and provide the fault position. However, the error is high especially in transmission lines. In this study presents an approach to the problem of fault detection in transmission line by using FPGA. The idea is to use concepts from signal processing and wavelet theory using C++ code to create sensitive fault detection. The output signal of the speed deviations of generator are taken as the input for wavelet analysis. By using Quartus II software and Nios II software the C++ code run in FPGA (DE2) board where the “oscillation signatures” are recorded using Multi Resolution Analysis (MRA) Wavelet Transform. The MRA decomposes the signal where the components are analyzed in the FPGA for their energy content and characteristic and then used as a feature for different classes and locations of the fault. The output of FPGA is saved in mat file and also fed to the Probabilistic Neural Network (PNN) using Matlab Mfile program to give the location and classification of the fault. Then, test the system by Adding noise to the data and run the PPN algorithm. The approach described in this study does not depend on the availability of an accurate mathematical model. Hence it is expected to be robust and of wide applicability. Therefore, this study will show that FPGA can be used to be a new approach to fault detection on power transmission lines. 2009 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/12356/1/AhmedMohamedOmranMFKE2009.pdf Omran, Ahmed Mohamed (2009) FPGA implementation for fault detection on a power transmission lines. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Omran, Ahmed Mohamed FPGA implementation for fault detection on a power transmission lines
description	Transmission lines are designed to transfer electric power from source locations to distribution networks. However, their lengths are exposed to various faults. Protective relay and fault recorder systems, based on fundamental power frequency signals, are installed to isolate and the faulty line and provide the fault position. However, the error is high especially in transmission lines. In this study presents an approach to the problem of fault detection in transmission line by using FPGA. The idea is to use concepts from signal processing and wavelet theory using C++ code to create sensitive fault detection. The output signal of the speed deviations of generator are taken as the input for wavelet analysis. By using Quartus II software and Nios II software the C++ code run in FPGA (DE2) board where the “oscillation signatures” are recorded using Multi Resolution Analysis (MRA) Wavelet Transform. The MRA decomposes the signal where the components are analyzed in the FPGA for their energy content and characteristic and then used as a feature for different classes and locations of the fault. The output of FPGA is saved in mat file and also fed to the Probabilistic Neural Network (PNN) using Matlab Mfile program to give the location and classification of the fault. Then, test the system by Adding noise to the data and run the PPN algorithm. The approach described in this study does not depend on the availability of an accurate mathematical model. Hence it is expected to be robust and of wide applicability. Therefore, this study will show that FPGA can be used to be a new approach to fault detection on power transmission lines.
format	Thesis
author	Omran, Ahmed Mohamed
author_facet	Omran, Ahmed Mohamed
author_sort	Omran, Ahmed Mohamed
title	FPGA implementation for fault detection on a power transmission lines
title_short	FPGA implementation for fault detection on a power transmission lines
title_full	FPGA implementation for fault detection on a power transmission lines
title_fullStr	FPGA implementation for fault detection on a power transmission lines
title_full_unstemmed	FPGA implementation for fault detection on a power transmission lines
title_sort	fpga implementation for fault detection on a power transmission lines
publishDate	2009
url	http://eprints.utm.my/id/eprint/12356/1/AhmedMohamedOmranMFKE2009.pdf http://eprints.utm.my/id/eprint/12356/
_version_	1643645933162856448

FPGA implementation for fault detection on a power transmission lines

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