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A classical task in the protection of transmission lines against short circuits is the estimation of the electrical distance to the fault and its comparison against a given threshold to determine whether the line is faulted or not. This paper presents a novel neural network approach to this problem, as a step towards the design of a neural protective relay. Two different alternatives are proposed...
This paper describes a fault detector that uses artificial neural networks (ANN). It represents the Brst step toward the development of a neural distance relay for protecting transmission lines. We envisage the fault defection problem as a pattern classification process. Our suggested approach Is based on the fact that when a fault occurs, a change In the system Impedance takes place and, as a consequence,...
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