Reduction of time domain insulation response measurement duration for fast and effective diagnosis of power transformer

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Date

2018-10-05

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IEEE

Abstract

Aging sensitive parameters like dissipation factor, oil and paper conductivity and paper moisture can be estimated from insulation model parameterized using polarization current to assess the condition of transformer insulation. However, polarization current measurement is a time-consuming offline technique. During measurement, variation of environmental conditions (especially temperature) affects the monotonically decreasing nature of recorded data. Analysis of such affected data lead to incorrect conclusion regarding insulation condition. Power transformer being a crucial equipment, utility prefer to reduce its shut down time to minimum amount. In this paper a technique is discussed through which the polarization current measurement time can be reduced significantly. Several transformer data are used for verification of developed method. Presented results show that measurement data corresponding to only 10 minutes is sufficient to estimate the remaining data through the application of discussed method.

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Dielectric polarization, Time domain measurements, Power transformer insulation, Neural network

Citation

D. Mishra, A. K. Pradhan, A. Baral and S. Chakravorti, "Reduction of time domain insulation response measurement duration for fast and effective diagnosis of power transformer," in IEEE Transactions on Dielectrics and Electrical Insulation, vol. 25, no. 5, pp. 1932-1940, Oct. 2018, doi: 10.1109/TDEI.2018.007322.

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