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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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/72741/1/Faults%20signature%20extraction%20in%20wind%20farm%20integrated%20Transmission%20Line%20topology.pdf |
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| author | Olufemi, Osaji Emmanuel Othman, Mohammad Lutfi Hizam, Hashim Othman, Mohammad Murtadha Ammar, Aker Elhadi Emhemed Alhaaj Akachukwu, Okeke Chidiebere Onuabuchi, Nwagbara Samuel |
| 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 |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T10:10:00Z |
| format | Article |
| id | upm.eprints-72741 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:10:00Z |
| publishDate | 2018 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | Faults signature extraction in wind farm integrated Transmission Line topology |
| title_sort | faults signature extraction in wind farm integrated transmission line topology |
| url | http://psasir.upm.edu.my/id/eprint/72741/1/Faults%20signature%20extraction%20in%20wind%20farm%20integrated%20Transmission%20Line%20topology.pdf |
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