FEM Simulation of PD Acoustic Signal Propagation in Transformers

Dong, Yue; Qian, Yong; Ye, Hai Feng; Jiang, Xiu Chen

doi:10.4028/www.scientific.net/amm.448-453.2278

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…For a PD acoustic source, a single point monopole domain source is used, to emulate the single point PD event inside the transformer. It can be expressed thus [19,20]:…”

Section: Fem Simulation Model Of Transformermentioning

confidence: 99%

FEM Simulation and Test Verification of PD Ultrasonic Signal Propagation in a Power Transformer Model

Wang

Gao

Zheng

et al. 2020

J. Electr. Eng. Technol.

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Ultrasonic signals will be generated when partial discharge occurs in internal insulation faults in large oil immersed power transformers: because the ultrasonic signal has strong anti-interference ability and has no direct electromagnetic contact with the equipment, it is widely used in transformer fault detection and positioning. In this paper, the finite element method (FEM) is used to simulate the ultrasonic signal in a 35 kV power transformer. The influence of transformer case on ultrasonic signal propagation is considered, and the propagation law of the ultrasonic signal inside the transformer is obtained. Fabry-Pérot (F-P) fibre acoustic sensors with a centre frequency of 28 kHz were fabricated. A partial discharge detection test was carried out in a 35 kV transformer winding model using the F-P sensors. The test results show that the ultrasonic waveform detected by the F-P sensors are in good agreement with the simulation results, and the propagation of the ultrasonic wave inside the transformer is verified. It lays a foundation for detecting and locating PDs in power transformer by F-P acoustic sensors.

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“…For a PD acoustic source, a single point monopole domain source is used, to emulate the single point PD event inside the transformer. It can be expressed thus [19,20]:…”

Section: Fem Simulation Model Of Transformermentioning

confidence: 99%

FEM Simulation and Test Verification of PD Ultrasonic Signal Propagation in a Power Transformer Model

Wang

Gao

Zheng

et al. 2020

J. Electr. Eng. Technol.

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show abstract

FEM based 3D modelling of partial discharge detection and localization in an oil-filled power transformer using piezoelectric acoustic sensor

Meitei

Borah

Chatterjee

2020

Tm - Technisches Messen

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The main cause of insulation degradation is due to partial discharges (PDs) occurring inside the transformer, and its detection and localization are the most effective, non-destructive methods to assess the insulation condition of the transformer. Among the PD detection methods, the acoustic PD detection technique is popular because of its various advantages. The acoustic PD detection method for accurate PD source localization becomes quite challenging when PD occurs inside the transformer core and windings. As the acoustic sound wave can be distorted and vibration with its distribution, so the type of PD sensors with their setting in the transformer should be thoroughly investigated and chosen. In this work, via simulation, the acoustic sound distribution inside the power transformer due to PD occurs is studied. Based on the knowledge of acoustic pressure wave distribution, a Lead Zirconate Titanate (PZT-5H) sensor is designed using Finite element method based COMSOL Multiphysics software and placed it on the outer walls of the transformer for PD detection and localization. The PD induction position has been recognized from the sensor signal using an artificial neural network. The results of PD detection and localization by the proposed piezoelectric sensor and COMSOL probe point are in good agreement.

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FEM Simulation of PD Acoustic Signal Propagation in Transformers

Cited by 2 publications

References 5 publications

FEM Simulation and Test Verification of PD Ultrasonic Signal Propagation in a Power Transformer Model

FEM Simulation and Test Verification of PD Ultrasonic Signal Propagation in a Power Transformer Model

FEM based 3D modelling of partial discharge detection and localization in an oil-filled power transformer using piezoelectric acoustic sensor

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