Residual flux density estimation of the three-phase transformer using BP neural network

When the off-line transformer is re-energized, the phase-controlled switching strategy can avoid the generation of inrush current by controlling the phase. To determine the closing phase, the residual flux density (B-r) in the transformer core needs to be accurately measured. This paper proposes a B-r estimation method for three-phase transformers based on the finite element method and BP neural network. Firstly, the direction of B-r in each phase core is determined based on the transient current characteristics. Then, the three-phase transformer is simulated and the BP neural network is trained to estimate the B-r based on the simulation results. The experimental results on a three-phase transformer show that the proposed method can accurately determine the direction and amplitude of B-r in each phase of the three-phase transformer.
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