Partial Discharge Detection and Diagnosis of Transformer Bushing Based on UHF Method

Jiang, Jun; Chen, Judong; Li, Jiansheng; Yang, Xiaoping; Bie, Yifan; Ranjan, Prem; Zhang, Chaohai; Schwarz, Harald

doi:10.1109/jsen.2021.3066809

Cited by 40 publications

(18 citation statements)

References 24 publications

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“…Therefore, the development of a partial discharge monitoring tool can prevent the transformers' total failures. Among several methodologies [13][14][15][16][17], two promising techniques are related to current analysis and the acoustic emission technique. In the first, the behavior of the electric current is analyzed to identify the transients generated by PD activity [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis Applied to the Partial Discharges Identification in Dry-Type Transformers by Hall and Acoustic Emission Sensors

Castro

Santos

Lucas

et al. 2022

Sensors

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Dry-type insulated transformers stand out for their higher applicability in substations, high-voltage instrumentation systems, and electrical installations. In this machine, the insulation system is constituted of dielectric materials such as epoxy resin and Nomex paper. Some critical issues in the operation of this equipment, such as overload, moisture, or heat, can induce a slow degradation of the physical–chemical properties of the dielectric materials, which can culminate in the total failure of the transformer. However, before the transformer’s shutdown, it is common to detect discharge activity in the insulation system. Based on this issue, this work proposes an experimental and comparative analysis between acoustic emission and Hall-effect sensors, aiming at differentiating discharges in epoxy resin and Nomex paper, materials that constitute the insulation of the dry-type insulated transformers. Two signal processing techniques were studied: traditional frequency analysis and discrete wavelet transform. The objective is to develop signal processing techniques to differentiate each type of discharge since different discharges require different maintenance actions. The results obtained indicate that acoustic emission sensors and Hall sensors are promising in differentiating discharge in epoxy resin and Nomex paper. Furthermore, the pattern recognition tools presented by this work, which associated the wavelet levels energies and the energy of the full signals with the average band and the equivalent bandwidth, were effective to perform feature extraction of power transformer condition.

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Section: Introductionmentioning

confidence: 99%

A Comparative Analysis Applied to the Partial Discharges Identification in Dry-Type Transformers by Hall and Acoustic Emission Sensors

Castro

Santos

Lucas

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…This is mainly because , tanδ is the intermediate parameter of insulation dielectric loss. It can not truly reflect the insulation aging and power loss of the medium without effectively unifying the factors, such as insulation size and capacitance [6][7]. In addition, Most of tanδ are tested under power frequency voltage, which only reflects the inherent insulation characteristics of insulating medium to power frequency voltage.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Method of 500kV Transformer Bushing Insulation State Based on Active Power Loss

Gu¹,

Xu²,

Li³

et al. 2022

J. Phys.: Conf. Ser.

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The bushing is one of the most important components of power transformer, and it is very important to find the internal defects of bushings as soon as possible, effectively and accurately diagnose its insulation state information. In this paper, the active power loss of 500kV transformer bushings have been analyzed, and the insulation state evaluation method based on active power loss is proposed. To verify the feasibility of evaluation method, one abnormal 500kV transformer bushing was selected to analyze its insulation state. The result shows that this method can be used as a powerful complement to tarδ.

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“…The commonly used PD detection methods are the ultra-high frequency (UHF) method, high-frequency current (HFCT) method, and acoustic emission (AE) (Ilkhechi and Samimi, 2021;Jiang et al, 2021a;Jiang et al, 2021b;Zhang et al, 2014). The PD signal characteristics and propagation paths of various defects are different, so there are differences in the detection sensitivity of different detection methods for defects.…”

Section: Introductionmentioning

confidence: 99%

Multiple detections of insulation defects partial discharge in gas-insulated equipment

Kong

Zhao

et al. 2022

Front. Energy Res.

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Gas-insulated equipment is an important part of the power system owing to its advantages of small footprint, large transmission capacity, and high reliability. Detection of insulation defects partial discharge (PD) is important for its operation and maintenance, and the combination of multiple detection methods can greatly improve the accuracy of PD detection. In this study, the three kinds of insulation defects, namely, floating defect, void defect, and surface defect, are set up on the PD simulation platform and detected using the ultra-high frequency (UHF) method, high-frequency current (HFCT) method, and acoustic emission (AE) method. The partial discharge inception voltage (PDIV) and phase-resolved partial discharge (PRPD) spectrum of defects measured by these three methods are recorded in the experiments. The experimental results show that the UHF method is effective for the detection of the three defects. The HFCT method is sensitive to floating defects but not to void and surface defects. Discharge signals of these two defects can be detected by HFCT when the discharge amplitude is large. The AE method can detect floating defects effectively but cannot detect void defects and surface defects.

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Partial Discharge Detection and Diagnosis of Transformer Bushing Based on UHF Method

Cited by 40 publications

References 24 publications

A Comparative Analysis Applied to the Partial Discharges Identification in Dry-Type Transformers by Hall and Acoustic Emission Sensors

A Comparative Analysis Applied to the Partial Discharges Identification in Dry-Type Transformers by Hall and Acoustic Emission Sensors

Evaluation Method of 500kV Transformer Bushing Insulation State Based on Active Power Loss

Multiple detections of insulation defects partial discharge in gas-insulated equipment

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