Abstract
This paper presents the application of artificial neural network for the protection of power transformer. Modeling of ANN is performed using double-layer feedforward Levenberg–Marquardt backpropagation technique to discriminate between internal faults and magnetizing inrush condition in power transformer. Simulation of power system is done using MATLAB/SIMULINK. The result shows the power of ANN in identifying the internal faults and inrush condition with zero maloperation of differential relay, higher operating speed with less fault clearing time.
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Banerjee, M., Khosla, A. (2020). Utilization of Artificial Neural Network for the Protection of Power Transformer. In: Singh Tomar, G., Chaudhari, N.S., Barbosa, J.L.V., Aghwariya, M.K. (eds) International Conference on Intelligent Computing and Smart Communication 2019. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0633-8_45
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DOI: https://doi.org/10.1007/978-981-15-0633-8_45
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