Analysis of Interturn Faults on Transformer Based on Electromagnetic-Mechanical Coupling

Nan Zhu, Ji Li (), Lei Shao (), Hongli Liu, Lei Ren and Lihua Zhu
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Nan Zhu: School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China
Ji Li: Tianjin Key Laboratory for Control Theory & Application in Complicated Systems, Tianjin 300384, China
Lei Shao: Tianjin Key Laboratory for Control Theory & Application in Complicated Systems, Tianjin 300384, China
Hongli Liu: Tianjin Key Laboratory for Control Theory & Application in Complicated Systems, Tianjin 300384, China
Lei Ren: Tianjin Key Laboratory for Control Theory & Application in Complicated Systems, Tianjin 300384, China
Lihua Zhu: Tianjin Key Laboratory for Control Theory & Application in Complicated Systems, Tianjin 300384, China

Energies, 2023, vol. 16, issue 1, 1-13

Abstract: A running transformer frequently experiences interturn faults; they are typically difficult to detect in their early stages but eventually progress to interturn short circuits, which cause damage to the transformer. Therefore, finding out the fault mechanism of the full interturn fault process can provide a theoretical basis for transformer fault detection. In this paper, an electromagnetic-solid mechanics coupled finite element model consistent with an actual oil-immersed three-phase transformer is established. The transient process of winding from interturn discharge to interturn short circuit is simulated to study the electromagnetic characteristics as well as the mechanical characteristics during transformer failure. The model parameters of the transformer are simulated to obtain the fault current, electromagnetic parameters and other performance parameters to study the characteristics of the magnetic field and coil force when interturn faults occur. Finally, the vibration of the transformer casing is used to detect as well as diagnose the transformer fault situation, providing a theoretical basis for the study of transformer detection and diagnosis capability improvement measures.

Keywords: transformer; multi-physical field coupling; interturn fault; transient process (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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