A fast wavelet transform based algorithm for discrimination of transformers magnetizing inrush currents from faults
محل انتشار: دومین کنفرانس بین المللی مهندسی برق
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 418
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شناسه ملی سند علمی:
ICELE02_364
تاریخ نمایه سازی: 7 اسفند 1396
چکیده مقاله:
Transformers are crucial equipment in a power system, which require reliable solutions for their protection to ensure smooth operation. Identification between internal fault current and inrush current is a challenging problem in the design of transformer protection relay. This paper proposes an algorithm based on discrete wavelet transform (DWT) for discriminating among inrush current and internal fault in power transformers. The technique is based on pattern recognition of the instantaneous differential currents using wavelet transform. The high -frequency components generated during the disturbance are extracted using a wavelet-based processor stage. In this method, an appropriate criterion at a suitable frequency range is developed. The proposed algorithm is evaluated using various simulated inrush and internal fault current cases on a power transformer that has been modeled using Electromagnetic Transients Program software. The results obtained from the proposed technique show good accuracy for discriminating faults in the considered system. In addition, the proposed algorithm uses data of the differential current with a time of quarter cycle under the analysis.
کلیدواژه ها:
نویسندگان
Zahra Babaei
Department of electrical engineering, Razi University, Kermanshah, Iran
Mohammad Moradi
Co-Author s institution