Internal Fault Detection, Location, and Classification in Stator Winding of the Synchronous Generators Based on the Terminal Voltage Waveform
In this paper, a novel method is presented for detection and classification of the faultyphase/region in the stator winding of synchronous generators on the basis of the resulting harmoniccomponents that appear in the terminal voltage waveforms. Analytical results obtained through DecisionTree (DT)...
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| Language: | English |
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Amirkabir University of Technology
2017-12-01
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| Series: | AUT Journal of Electrical Engineering |
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| Online Access: | https://eej.aut.ac.ir/article_1977_11740ac95bc98317614f241d4faf020e.pdf |
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| author | M. Fayazi F. Haghjoo |
| author_facet | M. Fayazi F. Haghjoo |
| author_sort | M. Fayazi |
| collection | DOAJ |
| description | In this paper, a novel method is presented for detection and classification of the faultyphase/region in the stator winding of synchronous generators on the basis of the resulting harmoniccomponents that appear in the terminal voltage waveforms. Analytical results obtained through DecisionTree (DT) show that the internal faults are not only detectable but also they can be classified andthe related region can be estimated. Therefore, this scheme can be used to protect the synchronousgenerators against the various internal faults. Fuji technical documents and data sheets for an actualsalient pole synchronous generator (one unit of an Iran’s hydroelectric power plants) are used for themodeling. Simulations in Maxwell software environment are presented. All the related parameters, suchas B-H curve, unsymmetrical air gap and pole saliency, slot-teeth effect, and other actual parameters, areconsidered to obtain a comprehensive model to generate acceptable terminal voltage waveforms withoutany simplification. |
| format | Article |
| id | doaj-art-b3ad1bac34c34836a02f70e9f6a0424e |
| institution | Matheson Library |
| issn | 2588-2910 2588-2929 |
| language | English |
| publishDate | 2017-12-01 |
| publisher | Amirkabir University of Technology |
| record_format | Article |
| series | AUT Journal of Electrical Engineering |
| spelling | doaj-art-b3ad1bac34c34836a02f70e9f6a0424e2025-06-27T13:00:50ZengAmirkabir University of TechnologyAUT Journal of Electrical Engineering2588-29102588-29292017-12-0149220521410.22060/eej.2017.12131.50431977Internal Fault Detection, Location, and Classification in Stator Winding of the Synchronous Generators Based on the Terminal Voltage WaveformM. Fayazi0F. Haghjoo1Dept. of Electrical Engineering, Shahid Beheshti University, Tehran, IranDept. of Electrical Engineering, Shahid Beheshti University, Tehran, IranIn this paper, a novel method is presented for detection and classification of the faultyphase/region in the stator winding of synchronous generators on the basis of the resulting harmoniccomponents that appear in the terminal voltage waveforms. Analytical results obtained through DecisionTree (DT) show that the internal faults are not only detectable but also they can be classified andthe related region can be estimated. Therefore, this scheme can be used to protect the synchronousgenerators against the various internal faults. Fuji technical documents and data sheets for an actualsalient pole synchronous generator (one unit of an Iran’s hydroelectric power plants) are used for themodeling. Simulations in Maxwell software environment are presented. All the related parameters, suchas B-H curve, unsymmetrical air gap and pole saliency, slot-teeth effect, and other actual parameters, areconsidered to obtain a comprehensive model to generate acceptable terminal voltage waveforms withoutany simplification.https://eej.aut.ac.ir/article_1977_11740ac95bc98317614f241d4faf020e.pdfsynchronous generatorinternal faultsturn-turn faultsphase to ground faultsdetectionclassificationlocationharmonic componentsdecision tree |
| spellingShingle | M. Fayazi F. Haghjoo Internal Fault Detection, Location, and Classification in Stator Winding of the Synchronous Generators Based on the Terminal Voltage Waveform AUT Journal of Electrical Engineering synchronous generator internal faults turn-turn faults phase to ground faults detection classification location harmonic components decision tree |
| title | Internal Fault Detection, Location, and Classification in Stator Winding of the Synchronous Generators Based on the Terminal Voltage Waveform |
| title_full | Internal Fault Detection, Location, and Classification in Stator Winding of the Synchronous Generators Based on the Terminal Voltage Waveform |
| title_fullStr | Internal Fault Detection, Location, and Classification in Stator Winding of the Synchronous Generators Based on the Terminal Voltage Waveform |
| title_full_unstemmed | Internal Fault Detection, Location, and Classification in Stator Winding of the Synchronous Generators Based on the Terminal Voltage Waveform |
| title_short | Internal Fault Detection, Location, and Classification in Stator Winding of the Synchronous Generators Based on the Terminal Voltage Waveform |
| title_sort | internal fault detection location and classification in stator winding of the synchronous generators based on the terminal voltage waveform |
| topic | synchronous generator internal faults turn-turn faults phase to ground faults detection classification location harmonic components decision tree |
| url | https://eej.aut.ac.ir/article_1977_11740ac95bc98317614f241d4faf020e.pdf |
| work_keys_str_mv | AT mfayazi internalfaultdetectionlocationandclassificationinstatorwindingofthesynchronousgeneratorsbasedontheterminalvoltagewaveform AT fhaghjoo internalfaultdetectionlocationandclassificationinstatorwindingofthesynchronousgeneratorsbasedontheterminalvoltagewaveform |