Research on Key Technology of Transformer Partial Discharge Detection Based on Ultrasonic-UHF Fusion Sensor

In consideration of the limitations associated with single partial discharge detection in transformers, this study examined the propagation characteristics of typical defect partial discharge signals within transformers. It also explored differentiated and complementary application methods for fiber optic ultrasonic and ultra high frequency (UHF) partial discharge sensing techniques to detect internal defects. Furthermore, a method was proposed to enhance the reliability of integrated ultrasonic-UHF sensor in transformer oil and electromagnetic field environments by analyzing the spatial and temporal distribution of both partial discharge and interference signals.

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Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922551
Primary Topic
Advanced Sensor and Control Systems
Type
article
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Research on Key Technology of Transformer Partial Discharge Detection Based on Ultrasonic-UHF Fusion Sensor

Wenzhi Chang, Mengzhao Zhu, Tingyu Gao, Wendong Jiang et al.
Advanced Sensor and Control Systems
article

Research on Key Technology of Transformer Partial Discharge Detection Based on Ultrasonic-UHF Fusion Sensor

Wenzhi Chang, Mengzhao Zhu, Tingyu Gao, Wendong Jiang, Chenlei Han, Jian Wang
article en

Abstract

In consideration of the limitations associated with single partial discharge detection in transformers, this study examined the propagation characteristics of typical defect partial discharge signals within transformers. It also explored differentiated and complementary application methods for fiber optic ultrasonic and ultra high frequency (UHF) partial discharge sensing techniques to detect internal defects. Furthermore, a method was proposed to enhance the reliability of integrated ultrasonic-UHF sensor in transformer oil and electromagnetic field environments by analyzing the spatial and temporal distribution of both partial discharge and interference signals.

North China Electric Power University (CN), State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN), China Electric Power Research Institute
Affordable and clean energy
Openalex Percentile: Top 64%
Advanced Sensor and Control Systems
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Research on Key Technology of Transformer Partial Discharge Detection Based on Ultrasonic-UHF Fusion Sensor — Wenzhi Chang, Mengzhao Zhu, et al. · (2024) | TGRS Research Map | TGRS