Using polarization/depolarization current characteristics to estimate oil paper insulation aging condition of the transformer

2016 ◽  
Author(s):  
Yuanhua Zhou ◽  
Tao Zhang ◽  
Dongfang Zhang ◽  
Xiaolin Zhang
Keyword(s):  
Aging Condition ◽  
Depolarization Current ◽  
Insulation Aging ◽  
Current Characteristics ◽  
Paper Insulation

Reduction Mechanism of Alcohols Contents Caused by Acids During Oil-Paper Insulation Aging

2021 ◽  
Vol 28 (6) ◽  
pp. 1867-1874
Author(s):  
Enze Zhang ◽  
Jiefeng Liu ◽  
Xianhao Fan ◽  
Yiyi Zhang ◽  
Chaohai Zhang
Keyword(s):  
Reduction Mechanism ◽  
Insulation Aging ◽  
Paper Insulation

scholarly journals Optimization of Transformer Winding Deformation Assessment Criterion Considering Insulation Aging and Moisture Content

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6491
Author(s):  
Qian Wu ◽  
Yizhuo Hu ◽  
Ming Dong ◽  
Bo Song ◽  
Changjie Xia ◽  
...  
Keyword(s):  
Moisture Content ◽  
Frequency Response ◽  
High Sensitivity ◽  
Response Analysis ◽  
Frequency Response Analysis ◽  
Response Curves ◽  
Insulation Aging ◽  
Transformer Winding ◽  
Winding Deformation ◽  
Paper Insulation

Frequency response analysis is widely used to diagnose transformer winding deformation faults due to its high sensitivity, strong anti-interference capability, and equipment portability, but the results of frequency response analysis can be affected by insulation aging and moisture in the transformer, leading to errors in the diagnosis of winding deformation faults. Currently, there is no effective method to prevent such errors. This paper focuses on optimizing the criterion for diagnosing winding deformations when insulation aging and moisture are present. First, the winding frequency response curves of oil-paper insulation were determined by combining insulation aging and moisture tests of the oil-paper insulation with frequency response simulations of the transformer winding. Next, the winding deformation criterion predicting the likelihood and extent of errors diagnosing transformer winding deformations due to the insulation aging and moisture content is discussed. Finally, the corresponding criterion optimization method is proposed. The corresponding results show that insulation aging and moisture can lead to errors when using the correlation coefficient R criterion to diagnose the transformer winding deformations. Moreover, the possibility of winding deformation errors caused by the change of insulation state can be reduced by introducing the corresponding auxiliary criterion through comparing the capacitance change rate based on the frequency response method and that based on the dielectric spectrum method.

Depolarization current characteristics of PVA thermoelectrets

1975 ◽  
Vol 28 (1) ◽  
pp. 152-160 ◽  
Author(s):  
P. K. C. Pillai ◽  
K. Jain ◽  
V. K. Jain
Keyword(s):  
Depolarization Current ◽  
Current Characteristics
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