Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder

EMITTER International Journal of Engineering Technology

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Field Value
Title Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder
Creator Okumuş, Hatice
NUROGLU, Fatih Mehmet
Subject Engineering
Distribution System; Fault Detection; Digsilent Powerfactory; Wavelet Transform; Trabzon.

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.
Publisher Politeknik Elektronika Negeri Surabaya (PENS)
Contributor ÇORUH EDAŞ Electricity Distribution Company
Date 2019-06-15
Type info:eu-repo/semantics/article
Peer-reviewed Article

Format application/pdf
Identifier http://emitter.pens.ac.id/index.php/emitter/article/view/382
Source EMITTER International Journal of Engineering Technology; Vol 7, No 1 (2019); 384-399
Language eng
Relation http://emitter.pens.ac.id/index.php/emitter/article/view/382/148

Rights Copyright (c) 2019 EMITTER International Journal of Engineering Technology

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