Abstract
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 are simulated using MATLAB/SIMULINK in order to obtain current signals. The training process for the neural network and fault diagnosis decision are implemented using toolboxes on MATLAB.
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Balaga, H., Vishwakarma, D.N., Sinha, A. (2011). Application of ANN Based Pattern Recognition Technique for the Protection of 3-Phase Power Transformer. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27172-4_44
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DOI: https://doi.org/10.1007/978-3-642-27172-4_44
Publisher Name: Springer, Berlin, Heidelberg
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