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In this paper, four common winding faults in power transformers (axial displacement (AD), serial capacitance variation (VSC), ground capacitance variation (VGC), open circuit (OC)) are simulated on a transformer winding model to classify the fault type, location and extent, by applying an intelligent methodology for diagnosing transformer faults, depends on building a comprehensive database by collecting...
Power transformers are one of the critical points in the renewable energies networks for the transport and distribution of the electric energy. As a result, the diagnosis of transformers is necessary to ensure the reliability and service life. The frequency behavior of the transformer winding is generally studied using a high-frequency model to diagnose the various damages of the winding. For this...
This paper presents a modeling approach of a three-phase transformer using the FRA response, the developed model consists of a cascade of parallel RLC cells, the parameters are identified using the FRA data measurements obtained on each transformer phase over a wide frequency range. The proposed model can simulate the frequency behavior of the transformer without need to the coils geometries which...
This present paper focuses on the modeling of a real coil in order to diagnosis. This winding includes 05 discs of height (5 × 178) mm and containing 30 turns each on three layers. After validation of the adopted model, we performed parametric changes that reflect various defects in the winding to perform detection and investigation of fault location in the winding using the FRA method. Obtained results...
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