LAPSE:2023.34933
Published Article
LAPSE:2023.34933
Research on Online Detection Method of Transformer Winding Deformation Based on VFTO Characteristics
Xinghua Shi, Ran Wei, Wenbin Zhang
April 28, 2023
At present, most of the winding fault detections of transformers use offline methods, which require the entire line to be powered off or after the transformer has been shut down due to a serious fault, and they cannot detect the running status of the windings in real time and online. Since the transformer will be impacted by VFTO during operation, the VFTO is used as the excitation, and the basic principle of the frequency response method is used to propose an online detection method of transformer winding deformation based on VFTO characteristics. The finite element software is used to calculate the equivalent circuit parameters of normal and deformed windings, and the equivalent circuit model of the transformer windings before and after deformation is established. Due to the uncertainty of the VFTO waveform, combined with the frequency response method, the VFTO waveform is injected into the transformer winding health, and the frequency response curve is obtained from the deformed equivalent circuit, which is used to analyze the change of the resonance point in the case of radial deformation, axial deformation, and axial displacement of the winding. The simulation results show that with VFTO as the excitation, the obtained resonance point change can comprehensively reflect the deformation information of the winding. At the same time, the feasibility of the method is verified by experiments.
Keywords
frequency response method, transformer winding, VFTO characteristics, winding deformation
Suggested Citation
Shi X, Wei R, Zhang W. Research on Online Detection Method of Transformer Winding Deformation Based on VFTO Characteristics. (2023). LAPSE:2023.34933
Author Affiliations
Shi X: Faculty of Science, Kunming University of Science and Technology, Kunming 650504, China
Wei R: Faculty of Science, Kunming University of Science and Technology, Kunming 650504, China
Zhang W: College of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China
Journal Name
Energies
Volume
16
Issue
8
First Page
3496
Year
2023
Publication Date
2023-04-17
Published Version
ISSN
1996-1073
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PII: en16083496, Publication Type: Journal Article
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LAPSE:2023.34933
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doi:10.3390/en16083496
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