Dissolved Gas Analysis of Transformer Oil Based on Bayesian Regularized BP Neural Network

Abstract The hidden fault diagnosis of the transformer will play an important role in the future smart grid, as the safe operation of the transformer is an important guarantee of power system stability. The attention value method which is being applied to actual substations is introduced, according to a real case that took place in 2010, after detailed experiments, the method proposed in this paper has been verified, that is, a model based on Bayesian regularized BP neural network has been successfully established. The hidden fault in the transformer can be found earlier by DGA based on Bayesian regularized BP network model.