Benha University

Mohamed Ibrahim Zaki Amer

Asst. Lecturer

Faculty of Engineering, Benha Electrical Engineering

Ground/Phase Detection of Power Transformers’ Faults with Matrix-Based Fault Representation

• 2022
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Publication Information
Authors Amira M. Dahman; Ragab A. El Sehiemy; Mohamed I. Zaki Electrical Engineering Department, Faculty of Engineering, Benha University, Benha, Egypt ; Adel A. Abou El-Ela
Keywords Analytical models , Fault detection , Windings , Voltage , Fault location , Reliability engineering , Electrical fault detection
Journal Not Available
Publisher IEEE
Volume Not Available
Issue Not Available
Pages Not Available
publication.type International
Paper Link Open Link
Supplementary Materials Not Available
Abstract
This paper proposes a procedure for modeling various faults of power transformer including internal faults-turn to earth and turn to turn faults. The proposed modeling analyzes the behavior of the considered faults and studying their effect on the current of transformer in faulty winding in order to acquire possible accurate fault identification scheme. The fault detection process is dependent on the captured current signals that are employed with ATP simulator. Also, this study evaluates the impact of fault instant inception on the transformer voltage and current signals. Applications are carried out on a three phase two windings 4MVA, 15/6.9 kV, 50 Hz transformer in a distribution system. The employed simulations achieve accurate analysis with reliable decision for various critical conditions such as different fault ratios, different fault resistances, different fault inception time and different configuration of transformer winding connection.
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