The PD Pattern Characteristics of Typical Defects in GIS Based on Acoustic Detection

2013 ◽  
Vol 295-298 ◽  
pp. 2425-2428
Author(s):  
Xu Tao Wu ◽  
Bo Ma ◽  
Jin Peng Hao ◽  
Liang Zhang ◽  
Jun Hao Li ◽  
...  

Gas insulated switchgear (GIS) is the most important equipment in the power system. The partial discharge (PD) is the main detection method for the insulation failure. Especially, for insulation condition assessment, the pattern recognition technology of partial discharge in GIS is the most important. Acoustic detection of GIS PD is the effective method and it has long application history. The acoustic detection method is very suitable for defects detection in GIS, for it has the advantages of on-line detection and easy realization of locating the defects.The PD pattern characteristic is the key factor for the analysis of defect type. The PD pattern characteristics of four typical defects in GIS based on acoustic detection are studied in this paper. The results provide a test basis for the recognition of PD types and a deeper study of the mechanism of PD.

Author(s):  
Zhenhua Li ◽  
Weihui Jiang ◽  
Li Qiu ◽  
Zhenxing Li ◽  
Yanchun Xu

Background: Winding deformation is one of the most common faults in power transformers, which seriously threatens the safe operation of transformers. In order to discover the hidden trouble of transformer in time, it is of great significance to actively carry out the research of transformer winding deformation detection technology. Methods: In this paper, several methods of winding deformation detection with on-line detection prospects are summarized. The principles and characteristics of each method are analyzed, and the advantages and disadvantages of each method as well as the future research directions are expounded. Finally, aiming at the existing problems, the development direction of detection method for winding deformation in the future is prospected. Results: The on-line frequency response analysis method is still immature, and the vibration detection method is still in the theoretical research stage. Conclusion: The ΔV − I1 locus method provides a new direction for on-line detection of transformer winding deformation faults, which has certain application prospects and practical engineering value.


2013 ◽  
Vol 20 (3) ◽  
pp. 754-761 ◽  
Author(s):  
Xiaosheng Peng ◽  
Chengke Zhou ◽  
D. M. Hepburn ◽  
M. D. Judd ◽  
W. H. Siew

2017 ◽  
Vol 22 (S4) ◽  
pp. 7831-7839
Author(s):  
Weixing Su ◽  
Fang Liu ◽  
Jianjun Zhao ◽  
Maowei He ◽  
Hanning Chen

Transformers are important part in power transmission. One of the serious faults that is seen in transformers is electrical insulation failure. Insulation failure is usually initiated by partial discharges (PD). Due to high voltage stress, the fluid insulation in electrical system or a small solid portion can get dielectric breakdown, this is known as partial discharge and this does not create a space between the conductors. The accurate location of PD is an effective method for assessing the existing electrical insulation condition and preventing future accidents. PD is detected by many methods, but for onsite detection of PD, one of the efficient methods is sensing the electromagnetic waves radiated by the discharge source with a frequency range that can go up to 3GHz. In this technique Ultra High Frequency (UHF) sensors are mounted on the transformer tank to measure these waves. This provides a suitable solution for on-site detection of insulation failure in power transformers.


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