An equivalent heat circuit based thermal model of oil-immersed power transformers and a methodology for model construction using intelligent learning based on real-world data are presented. The proposed thermal model is established to calculate the real-time temperatures of the main parts of a natural oil, natural air (ONAN) and forced oil, forced air (OFAF) cooled power transformer, which is based on the principles of heat exchange and electric circuit laws. A genetic algorithm is used as a search method, based on a few on-site measurements, to determine the thermal model parameters.
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Tang et al. (2002) studied this question.
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