Evidence map›Paper›PMID 34770690›Full record

ArticleSensors (Basel, Switzerland)2021

Research on On-Line Detection Method of Transformer Winding Deformation Based on VFTO.

Yanyun Wang, Guoqiong Zhou, Chunping Zeng, Wenbin Zhang, Yanan Ren, Yi Ke, Hequn Chu, Chunguang Suo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Yanyun WangCollege of Science, Kunming University of Science and Technology, Kunming 650504, China.
Guoqiong ZhouCollege of Science, Kunming University of Science and Technology, Kunming 650504, China.
Chunping ZengCollege of Science, Kunming University of Science and Technology, Kunming 650504, China.
Wenbin ZhangCollege of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China.
Yanan RenCollege of Science, Kunming University of Science and Technology, Kunming 650504, China.
Yi KeCollege of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China.
Hequn ChuCollege of Science, Kunming University of Science and Technology, Kunming 650504, China.
Chunguang SuoCollege of Science, Kunming University of Science and Technology, Kunming 650504, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, the detection of transformer winding deformation faults is carried out in an offline state, which requires the transformer to cooperate with the implementation of planned power outages, or it takes place after the sudden failure of the transformer when it is out of operation. It is difficult to obtain the status information of the windings online in time. Since the transformer will suffer very fast transient overvoltage (VFTO) impact during operation, combined with the principle of the frequency response method, an online detection method of transformer winding deformation based on VFTO is proposed. In order to study the frequency response characteristics of transformer winding under the impact of VFTO, the generation process of VFTO is simulated by simulation software, and the equivalent circuit model of transformer winding before and after deformation is established. The VFTO signal is injected into the transformer circuit model as an excitation source, and the changes of resonant frequencies of frequency response curve under different deformation types and different deformation degrees of winding are analyzed. The simulation results show that the frequency response curves of different winding deformation types are different. Different deformation degrees are simulated by increasing the radial capacitance by 4%, 13%, and 23%, series inductance by 2%, 4%, and 6%, and longitudinal capacitance by 3%, 6%, and 9%, and the change of resonance frequencies can comprehensively reflect the deformation information of winding. At the same time, the tests of different deformation types and deformation degrees of the simulated winding are carried out. The results show that with the deepening of the change degree of the simulated fault inductance value, the frequency response curve shifts to the low-frequency direction, confirming the feasibility of the online detection method of transformer winding deformation based on VFTO.

Indexed as

equivalent circuit modelfrequency response methodonline testingVFTOwinding deformation

Identifiers

PMID34770690
PMCPMC8587817

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