Abstract：This paper proposed an equivalent magnetization curve-based transformer protection. The transformer operation states are essentially affected by iron core and intuitively demonstrated by magnetization hysteresis loop. Firstly, based on the analysis of magnetization hysteresis loop, the correspondence between equivalent magnetization curves and operation states was shown in this paper. Secondly, several extracted geometric characteristics were used as input to BP neural network, which was trained with a small amount of training data to identify transformer operation states. Finally, digital simulation and dynamic-model experiments were conducted to verify the proposed scheme. The results of 100% showed that the classification model with a small amount of training data could accurately identify transformer operation states. Moreover, this classification model had higher generalization ability, not affected by CT saturation and over-excitation. The proposed scheme solves effectively the poor performance of AI technique in power system, which has a great application value.
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2020, Vol. 35 
