Research on propagation law of partial discharge ultrasonic signal in converter transformer

Author:

Duan Hao1,Cheng Lin23,Luo Chuanxian23,Zhang Jing23,Su Zhonghuan4ORCID

Affiliation:

1. State Grid Corporation Limited 1 , Beijing 100031, China

2. Nanrui Group (State Grid Electric Power Research Institute) Co., LTD 2 , Nanjing 211106, China

3. State Grid Electric Power Research Institute Wuhan Nanrui Co., LTD 3 , Wuhan 430074, China

4. Tbea Hengyang Transformer Co., LTD 4 , Hengyang 421007, China

Abstract

When local discharge occurs inside the transformer, it will be accompanied by a burst sound to generate an ultrasonic signal, which can be used for fault monitoring and diagnosis inside the transformer. This paper focuses on studying the converter transformer and simulating and analyzing the location where local discharge is likely to occur in the converter transformer. The provided information includes the distribution of sound pressure within and outside the converter transformer and the impact of the winding on this distribution. Furthermore, the investigation focuses on the testing of local discharge in converter transformers using ultrasonic signals. A local discharge detection device for converter transformers has been developed. The experiment and analysis have been conducted, and what was learned was compared to the simulated outcomes. The determination of the local discharge position in converter transformers is based on the analysis of the time-varying waveform obtained at the observation point. This approach offers a novel method for finding and identifying local discharge.

Publisher

AIP Publishing

Reference20 articles.

1. Comparison of orientation algorithms of ultrasonic receiving array for partial dis-charge localization in oil;Chin. J. Electr. Eng.,2015

2. Partial discharge plant-monitoring technology: Present and future-developments;Science Measurement & Technology Iee Proceedings.,1995

3. Diagnostic analysis of internal discharge of 500 kV transformer based on double joint positioning method;Sichuan Electr. Power Technol.,2024

4. Analysis of metal discharge defect of 35 kV SVG station transformer;Light Source Light.,2021

5. Principle and modeling of partial discharge pattern recognition in power transformer;Instrumental Technol.,2024

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