Effect of cumulative moisture content on degradation of transformer paper insulation

Ariannik, Mohamadreza; Razi-Kazemi, Ali A.; Lehtonen, Matti

doi:10.1109/tdei.2016.006006

Cited by 19 publications

(12 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to (2), the DP-value in each iteration can be calculated as long as the A-value and T-value in that iteration are obtained. Previous studies have proved that the A-value depends on the moisture content in insulation paper and the oxygen level in the transformer tank, whereas the T-value is determined by the load ratio and ambient temperature [31,32]. In view of this, the following sub-sections are devoted to presenting the method applied for obtaining these two time-varying parameters of (2) to clarify how the practical concern can be considered in the model.…”

Section: Degradation Simulation Of Degree Of Polymerizationmentioning

confidence: 99%

“…where ω k,paper represents the moisture content in the insulation papers in iteration k. The values of ξ 1 , ξ 2 , ξ 3 , and ξ 4 , are determined by the oxygen levels and paper types, and their recommended values for different oxygen levels and paper types can be found in [31][32][33]. Since the oxygen level of oil-immersed DTs is generally kept at a low level regardless of the operating time, and the type of insulation paper is determined before the commission, A k can be directly calculated by (3) when inputting ω k, paper .…”

Section: A-valuementioning

confidence: 99%

See 1 more Smart Citation

System design optimization with mixed subsystems failure dependencies

Mellal

Zio

Al‐Dahidi

et al. 2023

Reliability Engineering & System Safety

View full text Add to dashboard Cite

Section: Degradation Simulation Of Degree Of Polymerizationmentioning

confidence: 99%

Section: A-valuementioning

confidence: 99%

System design optimization with mixed subsystems failure dependencies

Mellal

Zio

Al‐Dahidi

et al. 2023

Reliability Engineering & System Safety

View full text Add to dashboard Cite

“…aging [4], [5]. The equipment may fail ultimately due to premature breakdown when insulation reaches the end of its working life sooner as the insulation ages faster accompanied by water [4], [6]. Dampness has become the top threat among all the hazardous factors for insulation health.…”

Section: Introductionmentioning

confidence: 99%

A Circuital Model-Based Analysis of Moisture Content in Oil-Impregnated-Paper Insulation Using Frequency Domain Spectroscopy

Feng

2020

IEEE Access

View full text Add to dashboard Cite

The explicitly numerical or well-defined correlations between the dielectrics responses (DRs) and dielectric essences of oil-impregnated paper (OIP) insulation have not been fully understood yet. As a result, it is rather difficult to quantitatively diagnose the critical insulation condition, like determining moisture content in insulation paper (MCP) of power equipment only using electrical-based techniques such as frequency domain spectroscopy (FDS). To obtain MCP value, from a new perspective of parametric study on the circuital DR equivalence of OIP insulation-extended Debye model (EDM), the present contribution introduces a novel approach by exploring the pattern when EDM parameters vary with MCP and temperatures T . Further, mathematical correlations are developed between sensitive R-C values and MCP-T values. On the above analysis, small-scale physical models of real-life transformer bushings were prepared as test samples. Their OIP condenser bodies were artificially absorbed different controlled quantities of moisture and conditioned at different temperatures to record corresponding FDS results. Then a hybrid genetic algorithm combined with the Levenberg-Marquardt algorithm was proposed to estimate the EDM parameters by fitting the measured FDS data. Sensitive parameters therein were identified using subspectrum decomposition and formulated with MCP-T values so that a reliable moisture content estimation can be achieved once the testing temperature and FDS recordings of an insulation body are known.INDEX TERMS Oil-impregnated-paper insulation, moisture, extended Debye model, frequency domain spectroscopy.

show abstract

“…Ariannik et al . 's [14 ] research indicated that considering an annual growth rate for the moisture content of the paper insulation results in different trends of DP profiles. Besides, the moisture content in oil–paper insulation also has an assignable impact on cellulose degradation process, which would influence the ageing products and further affect the accuracy of prediction results [15–17 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of moisture content on the accuracy and economic feasibility of oil–paper insulation prediction model

Cheng

2020

IET Science, Measurement &Amp; Technology

View full text Add to dashboard Cite

The condition assessment of oil–paper insulation is a vital issue in transformer management. To investigate the effect of moisture content on the accuracy of the prediction model, accelerated ageing experiments were performed with different initial moisture content (IMC) in laboratory condition. Two types of multi‐parameter lifetime prediction models, e.g. with and without consideration of IMC, were presented for comparison purpose. The authors found that a better accuracy for its prediction results could be achieved by establishing the prediction models with the consideration of IMC. Besides, models considering IMC have better economic feasibility than that without considering IMC(non‐IMC) as its total cost is cheaper according to life cycle cost (LCC) calculations. In addition, failure probability based on the proposed prediction models was also calculated as a direct indicator for evaluating the oil–paper insulation status.

show abstract

Effect of cumulative moisture content on degradation of transformer paper insulation

Cited by 19 publications

References 9 publications

System design optimization with mixed subsystems failure dependencies

System design optimization with mixed subsystems failure dependencies

A Circuital Model-Based Analysis of Moisture Content in Oil-Impregnated-Paper Insulation Using Frequency Domain Spectroscopy

Effect of moisture content on the accuracy and economic feasibility of oil–paper insulation prediction model

Contact Info

Product

Resources

About