Fast prediction of temperature distributions in oil natural air natural transformers using proper orthogonal decomposition reduced‐order data‐driven modelling
Haijuan Lan,
Wenhu Tang,
Jiahao Gong
et al.
Abstract:In response to the time‐consuming computational fluid dynamics simulations faced in naturally convective oil‐immersed transformers, which result from complex models and a high degree of freedom, an innovative reduced‐order digital twin prediction model for transformer temperature fields is proposed. This model facilitates fast predictions of transient temperature distributions. Initially, a comprehensive full‐order finite element model of transformer temperature distributions is established. Subsequently, a hy… Show more
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