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Faults signature extraction in wind farm integrated Transmission Line topology

The integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photo Voltaic (PV) systems into convention power system as a future solution to the increase in global energy demands, generation cost reduction, and limited climate impact. The innovation introduced protec...

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Main Authors: Olufemi, Osaji Emmanuel, Othman, Mohammad Lutfi, Hizam, Hashim, Othman, Mohammad Murtadha, Ammar, Aker Elhadi Emhemed Alhaaj, Akachukwu, Okeke Chidiebere, Onuabuchi, Nwagbara Samuel
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2018
Online Access:http://psasir.upm.edu.my/id/eprint/72741/1/Faults%20signature%20extraction%20in%20wind%20farm%20integrated%20Transmission%20Line%20topology.pdf
http://psasir.upm.edu.my/id/eprint/72741/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/14440
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spelling my.upm.eprints.727412021-01-30T02:33:37Z http://psasir.upm.edu.my/id/eprint/72741/ Faults signature extraction in wind farm integrated Transmission Line topology Olufemi, Osaji Emmanuel Othman, Mohammad Lutfi Hizam, Hashim Othman, Mohammad Murtadha Ammar, Aker Elhadi Emhemed Alhaaj Akachukwu, Okeke Chidiebere Onuabuchi, Nwagbara Samuel The integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photo Voltaic (PV) systems into convention power system as a future solution to the increase in global energy demands, generation cost reduction, and limited climate impact. The innovation introduced protection compromise challenges in power system due to in-feeds fault current penetration from RGES on existing system, leading to an undesired trip of the healthy section of TL, equipment damages, and safety failure. A comparison study of extracted faults signature from two proposed Transmission Line (TL) network topologies with and without WFG integration, for onward fault identification, and classification model design. Descrete wavelet multiresolution Analysis (DWMRA) of extracted one-cycle fault signal signatures from 11 faults type’s scenarios in Matlab. Result demonstrated a unique fault signatures across all simulated faults scenarios harness for future work of an adaptive unit protection model for this new area of DG integration. Institute of Advanced Engineering and Science 2018-10 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72741/1/Faults%20signature%20extraction%20in%20wind%20farm%20integrated%20Transmission%20Line%20topology.pdf Olufemi, Osaji Emmanuel and Othman, Mohammad Lutfi and Hizam, Hashim and Othman, Mohammad Murtadha and Ammar, Aker Elhadi Emhemed Alhaaj and Akachukwu, Okeke Chidiebere and Onuabuchi, Nwagbara Samuel (2018) Faults signature extraction in wind farm integrated Transmission Line topology. Indonesian Journal of Electrical Engineering and Computer Science, 12 (1). 246 - 253. ISSN 2502-4752; ESSN: 2502-4760 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/14440 10.11591/ijeecs.v12.i1.pp246-25
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photo Voltaic (PV) systems into convention power system as a future solution to the increase in global energy demands, generation cost reduction, and limited climate impact. The innovation introduced protection compromise challenges in power system due to in-feeds fault current penetration from RGES on existing system, leading to an undesired trip of the healthy section of TL, equipment damages, and safety failure. A comparison study of extracted faults signature from two proposed Transmission Line (TL) network topologies with and without WFG integration, for onward fault identification, and classification model design. Descrete wavelet multiresolution Analysis (DWMRA) of extracted one-cycle fault signal signatures from 11 faults type’s scenarios in Matlab. Result demonstrated a unique fault signatures across all simulated faults scenarios harness for future work of an adaptive unit protection model for this new area of DG integration.
format Article
author Olufemi, Osaji Emmanuel
Othman, Mohammad Lutfi
Hizam, Hashim
Othman, Mohammad Murtadha
Ammar, Aker Elhadi Emhemed Alhaaj
Akachukwu, Okeke Chidiebere
Onuabuchi, Nwagbara Samuel
spellingShingle Olufemi, Osaji Emmanuel
Othman, Mohammad Lutfi
Hizam, Hashim
Othman, Mohammad Murtadha
Ammar, Aker Elhadi Emhemed Alhaaj
Akachukwu, Okeke Chidiebere
Onuabuchi, Nwagbara Samuel
Faults signature extraction in wind farm integrated Transmission Line topology
author_facet Olufemi, Osaji Emmanuel
Othman, Mohammad Lutfi
Hizam, Hashim
Othman, Mohammad Murtadha
Ammar, Aker Elhadi Emhemed Alhaaj
Akachukwu, Okeke Chidiebere
Onuabuchi, Nwagbara Samuel
author_sort Olufemi, Osaji Emmanuel
title Faults signature extraction in wind farm integrated Transmission Line topology
title_short Faults signature extraction in wind farm integrated Transmission Line topology
title_full Faults signature extraction in wind farm integrated Transmission Line topology
title_fullStr Faults signature extraction in wind farm integrated Transmission Line topology
title_full_unstemmed Faults signature extraction in wind farm integrated Transmission Line topology
title_sort faults signature extraction in wind farm integrated transmission line topology
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/72741/1/Faults%20signature%20extraction%20in%20wind%20farm%20integrated%20Transmission%20Line%20topology.pdf
http://psasir.upm.edu.my/id/eprint/72741/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/14440
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score 13.211869

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