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This paper presents an application of ANN based Pattern Recognition Technique for the differential protection of a two winding three-phase power transformer. It proposes a variation in feed forward back propagation neural network (FFBPNN) model, which makes the discrimination among normal, magnetizing inrush, over-excitation and internal fault currents efficiently. Fault conditions of the transformer...
Transformer protection is an established area of research to find the fastest and efficient differential relay algorithm that isolates the transformer from remaining system causing least damage. Algorithm should also avoid mal-operation when differentiating between the operating conditions. Various differential algorithms were proposed in the past, allowing a scope for further research. In this paper,...
The proposed work presents the use of Artificial Neural Network (ANN) as a pattern classifier for differential protection of power transformer, which makes the discrimination among normal, magnetizing inrush, over-excitation and internal fault currents. This scheme has been realized through two separate customized Parallel-Hidden Layered ANN architectures which work in Master-slave mode. The Back...
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