Research on the Influence of Transformer Winding on Partial Discharge Waveform Propagation

Partial Discharge (PD) measurement is one of the effective methods for assessing the internal insulation condition of power transformers in factories and substations. The pulse current signals generated by PD within transformer windings are significantly influenced by the winding structure during their propagation from the discharge source to the external measurement system. This influence may lead to misinterpretation of the insulation status, particularly in the analysis of PD measurement results. Such effects are closely related to the signal transmission path and distance and exhibit a strong correlation with the winding transfer function, manifesting as attenuation, distortion, or delay of the measured signals compared to the original PD waveforms. Therefore, it is essential to investigate the impact of the discharge path on the propagation characteristics of transformer windings and its effect on PD waveforms. This paper establishes a simplified distributed parameter model of a 180-turn single-winding multi-conductor transmission line using the finite element method and mathematical modeling, deriving the transfer functions between the winding head or winding end and various internal discharge positions. By injecting different types of PD waveforms collected in the laboratory at various discharge locations within the winding, the alterations of PD signals propagated to the winding head and winding end are simulated, and clustering analysis is performed on the propagated PD signals of different types.

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Publication Details

Journal
Energies
Published
2025-10-08
DOI
https://doi.org/10.3390/en18195308
Citations
1
Primary Topic
High voltage insulation and dielectric phenomena
Type
article
Field-Weighted Citation Impact
0.52
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Research on the Influence of Transformer Winding on Partial Discharge Waveform Propagation

Zhaoyang Kang, Fuqiang Ren, Kaining Hou, Dongxin He et al.
1 citations
Energies
High voltage insulation and dielectric phenomena
0.52
article

Research on the Influence of Transformer Winding on Partial Discharge Waveform Propagation

Zhaoyang Kang, Fuqiang Ren, Kaining Hou, Dongxin He, Qingquan Li
article en
1 citations

Abstract

Partial Discharge (PD) measurement is one of the effective methods for assessing the internal insulation condition of power transformers in factories and substations. The pulse current signals generated by PD within transformer windings are significantly influenced by the winding structure during their propagation from the discharge source to the external measurement system. This influence may lead to misinterpretation of the insulation status, particularly in the analysis of PD measurement results. Such effects are closely related to the signal transmission path and distance and exhibit a strong correlation with the winding transfer function, manifesting as attenuation, distortion, or delay of the measured signals compared to the original PD waveforms. Therefore, it is essential to investigate the impact of the discharge path on the propagation characteristics of transformer windings and its effect on PD waveforms. This paper establishes a simplified distributed parameter model of a 180-turn single-winding multi-conductor transmission line using the finite element method and mathematical modeling, deriving the transfer functions between the winding head or winding end and various internal discharge positions. By injecting different types of PD waveforms collected in the laboratory at various discharge locations within the winding, the alterations of PD signals propagated to the winding head and winding end are simulated, and clustering analysis is performed on the propagated PD signals of different types.

EnergiesVol. 18(19)
Shandong University (CN)
Openalex Percentile: Top 32%
High voltage insulation and dielectric phenomena
0.52
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Research on the Influence of Transformer Winding on Partial Discharge Waveform Propagation — Zhaoyang Kang, Fuqiang Ren, et al. · Energies (2025) | TGRS Research Map | TGRS