Novel characteristic parameters for oil-paper insulation assessment from differential time-domain spectroscopy based on polarization and depolarization current measurement

Wei, Jianlin; Zhang, Guanjun; Xu, Hao; Peng, Huadong; Wang, Shiqiang; Dong, Ming

doi:10.1109/tdei.2011.6118630

Cited by 39 publications

(20 citation statements)

References 26 publications

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“…Moreover, the 'inflection point' of polarization currents will occur with an insulation temperature decrease. Similar results are observed in the literatures [21,22]. This inflection point phenomenon seems to be related to the relaxation time constant with temperature dependant.…”

Section: Polarization Currentsupporting

confidence: 92%

Effectiveness Analysis and Temperature Effect Mechanism on Chemical and Electrical-Based Transformer Insulation Diagnostic Parameters Obtained from PDC Data

et al. 2018

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Abstract:The dielectric monitoring/diagnostic tool, such as Polarization and Depolarization Current (PDC) measurement, is now being widely applied to obtain the status of deteriorated transformers around the world. Nowadays, several works have reported that the chemical and electrical-based transformer insulation diagnostic parameters (absorption ratio, polarization index, paper conductivity, oil conductivity, insulation resistance, etc.) can be easily calculated from the PDC data. It is a fact that before using these parameters to obtain the status of deteriorated transformers, the power engineers should prudently investigate the effectiveness of these parameters. However, there are few papers that investigate the important issue. In addition, the understanding of temperature effect mechanism on these parameters should also be prudently studied. In the present work, we firstly prepare several oil-impregnated pressboard specimens with various insulation statuses by using a sequence of thermal ageing and moisture absorption experiments launched in the laboratory, and then the PDC measurement is performed to obtain the chemical and electrical-based transformer insulation diagnostic parameters. Finally, we systematically interpret the effectiveness and temperature effect mechanism on these chemical and electrical-based transformer insulation diagnostic parameters.

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Section: Polarization Currentsupporting

confidence: 92%

Effectiveness Analysis and Temperature Effect Mechanism on Chemical and Electrical-Based Transformer Insulation Diagnostic Parameters Obtained from PDC Data

et al. 2018

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“…Over the last few years, the demand to non-destructively and reliably obtain the transformer insulation condition has greatly accelerated the improvement of DRM techniques, such as Return Voltage Measurement (RVM) [14,15], Polarization and Depolarization Current (PDC) [16][17][18], and Frequency Domain Spectroscopy (FDS) [19][20][21]. The transformer insulation system contains insulation oil and cellulose material, and its dielectric properties are strongly affected by the test temperature, ageing and moisture.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, it is generally believed that PDC measurements are a better tool for these dielectric response diagnostic techniques, and it has widely aroused the interest of many researchers/research groups. So far, many of the research findings in relation to PDC behavior have been commonly reported for diagnosing water content and ageing condition in transformer cellulose insulation [16][17][18]. However, it is somewhat difficult for power utilities to reliably and accurately predict the water content and ageing condition using the PDC technique due to the different insulation size and geometry in transformers [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Study on Quantitative Correlations between the Ageing Condition of Transformer Cellulose Insulation and the Large Time Constant Obtained from the Extended Debye Model

et al. 2017

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Polarization-depolarization current (PDC) measurements are now being used as a diagnosis tool to predict the ageing condition of transformer oil-paper insulation. Unfortunately, it is somewhat difficult to obtain the ageing condition of transformer cellulose insulation using the PDC technique due to the variation in transformer insulation geometry. In this literature, to quantify the ageing condition of transformer cellulose insulation using the PDC technique, we firstly designed a series of experiments under controlled laboratory conditions, and then obtained the branch parameters of an extended Debye model using the technique of curve fitting the PDC data. Finally, the ageing effect and water effect on the parameters of large time constant branches were systematically investigated. In the present paper, it is observed that there is a good exponential correlation between large time constants and degree of polymerization (DP). Therefore, the authors believe that the large time constants may be regard as a sensitive ageing indicator and the nice correlations might be utilized for the quantitative assessment of ageing condition in transformer cellulose insulation in the future due to the geometry independence of large time constants. In addition, it is found that the water in cellulose pressboards has a predominant effect on large time constants.

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“…[2] IS-1 2012 IEEE International Conference on Condition Monitoring and Diagnosis 23-27 September 2012, Bali, Indonesia…”

Section: Evaluation Of Solid Insulationmentioning

confidence: 99%

Recent progress of CMD research and applications in China

Guo

et al. 2012

2012 IEEE International Conference on Condition Monitoring and Diagnosis

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Accompanying with the significant development of power industry, condition monitoring and diagnosis (CMD) for power apparatus is developing rapidly in China in recent years. This paper introduces the recent progress of CMD research and applications in China, including field applications of CMD to power substation and power transmission lines by on-line monitoring and on-site detecting devices, the novel sensors and technologies developed, and CMD standards established in China. The problems of the existing CMD systems and the trend of CMD development in China are also presented.

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Novel characteristic parameters for oil-paper insulation assessment from differential time-domain spectroscopy based on polarization and depolarization current measurement

Cited by 39 publications

References 26 publications

Effectiveness Analysis and Temperature Effect Mechanism on Chemical and Electrical-Based Transformer Insulation Diagnostic Parameters Obtained from PDC Data

Effectiveness Analysis and Temperature Effect Mechanism on Chemical and Electrical-Based Transformer Insulation Diagnostic Parameters Obtained from PDC Data

Study on Quantitative Correlations between the Ageing Condition of Transformer Cellulose Insulation and the Large Time Constant Obtained from the Extended Debye Model

Recent progress of CMD research and applications in China

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