Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder
As the importance of protection in power systems increase, knowing the type of malfunction occurring in the system has become crucial. Especially in the distribution system where electricity is delivered to the consumer, detecting the right fault type with a short amount of time is important. For th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Elektronika Negeri Surabaya
2019-06-01
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| Series: | Emitter: International Journal of Engineering Technology |
| Subjects: | |
| Online Access: | https://emitter.pens.ac.id/index.php/emitter/article/view/382 |
| _version_ | 1818918886196641792 |
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| author | Hatice OkumuÅŸ Fatih Mehmet NUROGLU |
| author_facet | Hatice OkumuÅŸ Fatih Mehmet NUROGLU |
| author_sort | Hatice OkumuÅŸ |
| collection | DOAJ |
| description | As the importance of protection in power systems increase, knowing the type of malfunction occurring in the system has become crucial. Especially in the distribution system where electricity is delivered to the consumer, detecting the right fault type with a short amount of time is important. For this purpose in this study, Akyazı-Düzköy distribution feeder in Trabzon province, where faults commonly occur, is modeled with Digsilent Powerfactory. The model is performed with actual parameters including 465 lines, 243 loads, 233 transformers and 1093 busbars. First, the load flow and short circuit analysis have been carried out for the validation of the model. Then a fault detection and classification algorithm is enhanced using the wavelet transform and the energy of the coefficients. Different types of short circuit faults are created at different points on the model to test the accuracy of the algorithm. The fault inception time and the effect of the fault resistance are also investigated. |
| first_indexed | 2024-12-20T00:57:05Z |
| format | Article |
| id | doaj.art-db01e575c915496ab3840c8b939370f6 |
| institution | Directory Open Access Journal |
| issn | 2355-391X 2443-1168 |
| language | English |
| last_indexed | 2024-12-20T00:57:05Z |
| publishDate | 2019-06-01 |
| publisher | Politeknik Elektronika Negeri Surabaya |
| record_format | Article |
| series | Emitter: International Journal of Engineering Technology |
| spelling | doaj.art-db01e575c915496ab3840c8b939370f62022-12-21T19:59:05ZengPoliteknik Elektronika Negeri SurabayaEmitter: International Journal of Engineering Technology2355-391X2443-11682019-06-017110.24003/emitter.v7i1.382382Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution FeederHatice Okumuş0Fatih Mehmet NUROGLU1Karadeniz Technical UniversityKaradeniz Technical UniversityAs the importance of protection in power systems increase, knowing the type of malfunction occurring in the system has become crucial. Especially in the distribution system where electricity is delivered to the consumer, detecting the right fault type with a short amount of time is important. For this purpose in this study, Akyazı-Düzköy distribution feeder in Trabzon province, where faults commonly occur, is modeled with Digsilent Powerfactory. The model is performed with actual parameters including 465 lines, 243 loads, 233 transformers and 1093 busbars. First, the load flow and short circuit analysis have been carried out for the validation of the model. Then a fault detection and classification algorithm is enhanced using the wavelet transform and the energy of the coefficients. Different types of short circuit faults are created at different points on the model to test the accuracy of the algorithm. The fault inception time and the effect of the fault resistance are also investigated.https://emitter.pens.ac.id/index.php/emitter/article/view/382Distribution SystemFault DetectionDigsilent PowerfactoryWavelet TransformTrabzon. |
| spellingShingle | Hatice OkumuÅŸ Fatih Mehmet NUROGLU Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder Emitter: International Journal of Engineering Technology Distribution System Fault Detection Digsilent Powerfactory Wavelet Transform Trabzon. |
| title | Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder |
| title_full | Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder |
| title_fullStr | Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder |
| title_full_unstemmed | Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder |
| title_short | Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder |
| title_sort | wavelet based fault detection and classification algorithm for a real distribution feeder |
| topic | Distribution System Fault Detection Digsilent Powerfactory Wavelet Transform Trabzon. |
| url | https://emitter.pens.ac.id/index.php/emitter/article/view/382 |
| work_keys_str_mv | AT haticeokumuay waveletbasedfaultdetectionandclassificationalgorithmforarealdistributionfeeder AT fatihmehmetnuroglu waveletbasedfaultdetectionandclassificationalgorithmforarealdistributionfeeder |