Abstract
In this paper, the authors examine dynamic models of power transformer top oil temperature for use in an online monitoring and diagnostic system. Data taken from large transformers in the field indicate that the IEEE model of top oil temperature rise over ambient temperature does not adequately account for daily variations in ambient temperature. The authors propose a modification that accurately predicts top oil temperature and can be implemented in an online system. This model is verified using data from a large power transformer in service.
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