Abstract
The moisture present in the paper insulation of a power transformer is considered to be an important parameter in the field of insulation diagnosis. Over time, deterioration in insulation conditions increases the moisture content. In the present analysis, the moisture is estimated using a noninvasive analysis based on the insulation model. Available similar techniques suffer from limitations. Existing techniques are formulated using data collected from a laboratory sample for a specific measurement temperature. This makes them unreliable for real-life power transformers. The discussed method addresses these issues and, in the process, offers a better, reliable insulation diagnosis methodology.
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Banerjee, C.M., Baral, A., Chakravorti, S. (2022). Moisture Estimation of Power Transformer Using Transfer Function of Conventional Debye Model. In: Gupta, A.R., Roy, N.K., Parida, S.K. (eds) Power Electronics and High Voltage in Smart Grid. Lecture Notes in Electrical Engineering, vol 817. Springer, Singapore. https://doi.org/10.1007/978-981-16-7393-1_1
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DOI: https://doi.org/10.1007/978-981-16-7393-1_1
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