Temperature correction to dielectric modulus and activation energy prediction of oil-immersed cellulose insulation

The dielectric modulus Μ∗(ω) is used for studying the frequency domain response and activation energy (Ea) of transformer immersed cellulose insulation. Existing literatures show that the temperature is a crucial factor affecting the Μ∗(ω) and aging rate of transformer oil-paper insulation, while the Ea can be regarded as an indicator to reflect the average aging rate of the transformer immersed cellulose insulation. Therefore, the discussion of the temperature-dependence on both Μ∗(ω) and Ea is of great significance. This paper attempts to report an approach for understanding the temperature impact on both Μ∗(ω) and Ea. The obtained knowledge can be used to establish two available models for temperature correction on Μ∗(ω) and activation energy prediction of transform immersed cellulose insulation, respectively. These findings are expected to promote the reliability of the condition prediction result of transformer immersed cellulose insulation by using Μ∗(ω) and Ea technique.

[1]  N. Lelekakis,et al.  Ageing rate of paper insulation used in power transformers Part 1: Oil/paper system with low oxygen concentration , 2012, IEEE Transactions on Dielectrics and Electrical Insulation.

[2]  A. Jonscher Dielectric relaxation in solids , 1983 .

[3]  H. C. Verma,et al.  A method to estimate activation energy of power transformer insulation using time domain spectroscopy data , 2017, IEEE Transactions on Dielectrics and Electrical Insulation.

[4]  D. Linhjell,et al.  Aging of oil-impregnated paper in power transformers , 2004, IEEE Transactions on Power Delivery.

[5]  P. Purkait,et al.  Investigations of Temperature Effects on the Dielectric Response Measurements of Transformer Oil-Paper Insulation System , 2008, IEEE Transactions on Power Delivery.

[6]  R. Sarathi,et al.  Thermal aging of cellulosic pressboard material and its surface discharge and chemical characterization , 2017, Cellulose.

[7]  Saurabh Dutta,et al.  Use of Interfacial Charge for Diagnosis and Activation Energy Prediction of Oil-Paper Insulation Used in Power Transformer , 2019, IEEE Transactions on Power Delivery.

[8]  Hui Ma,et al.  Understanding Moisture Dynamics and Its Effect on the Dielectric Response of Transformer Insulation , 2015, IEEE Transactions on Power Delivery.

[9]  N. Lelekakis,et al.  Ageing rate of paper insulation used in power transformers Part 2: Oil/paper system with medium and high oxygen concentration , 2012, IEEE Transactions on Dielectrics and Electrical Insulation.

[10]  H. Borsi,et al.  Dielectric response studies on insulating system of high voltage rotating machines , 2006, IEEE Transactions on Dielectrics and Electrical Insulation.

[11]  T. Leibfried,et al.  Accelerating Dielectric Response Measurements on Power Transformers—Part II: A Regression Approach , 2014, IEEE Transactions on Power Delivery.

[12]  A. West,et al.  Impedance and modulus spectroscopy of polycrystalline solid electrolytes , 1976 .

[13]  Alan Emsley,et al.  Degradation of cellulosic insulation in power transformers. Part 3: effects of oxygen and water on ageing in oil , 2000 .

[14]  Bangfei Deng,et al.  Assessment of Oil-Paper Insulation Aging Using Frequency Domain Spectroscopy and Moisture Equilibrium Curves , 2019, IEEE Access.

[15]  Y. Zhang,et al.  Aging condition assessment of transformer oil-immersed cellulosic insulation based upon the average activation energy method , 2019, Cellulose.

[16]  Guan-jun Zhang,et al.  Insulation condition diagnosis of oil-immersed paper insulation based on non-linear frequency-domain dielectric response , 2018, IEEE Transactions on Dielectrics and Electrical Insulation.

[17]  Hanbo Zheng,et al.  A Novel Universal Approach for Temperature Correction on Frequency Domain Spectroscopy Curve of Transformer Polymer Insulation , 2019, Polymers.

[18]  Lijun Yang,et al.  Effect of moisture and thermal degradation on the activation energy of oil–paper insulation in frequency domain spectroscopy measurement , 2016 .

[19]  Lijun Yang,et al.  Dielectric response measurement of oil-paper insulation based on system identification and its time-frequency-domain conversion method , 2018, IEEE Transactions on Dielectrics and Electrical Insulation.

[20]  Yiyi Zhang,et al.  Condition prediction for oil-immersed cellulose insulation in field transformer using fitting fingerprint database , 2020, IEEE Transactions on Dielectrics and Electrical Insulation.

[21]  S. Vyazovkin On the phenomenon of variable activation energy for condensed phase reactions , 2000 .

[22]  Tapan K. Saha,et al.  Understanding the impact of moisture and ageing of transformer insulation on frequency domain spectroscopy , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.

[23]  Yoshimichi Ohki,et al.  Electric modulus powerful tool for analyzing dielectric behavior , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.

[24]  Hui Ma,et al.  An Updated Model to Determine the Life Remaining of Transformer Insulation , 2015, IEEE Transactions on Power Delivery.