طراحي حفاظت ديستانس پايدار در برابر رفتار گذراي ترانسفورماتورهاي ولتاژ خازني با استفاده از شبكه هاي عصبي

A Novel Distance Protection Immune to the Effects of CVT Transients Using Artificial Neural Network

This paper presents the design of a novel method for improvement of the operation of distance relays during capacitive voltage transformer transients using artificial neural network. The proposed module uses voltage and current signals to learn the hidden relationship existing in the input patterns. Simulation studies are preformed and the influence of changing system parameters, such as fault resistance and source impedance is studied. Details of the design procedure and the results of performance studies with the proposed relay are given in the paper. Performance studies show that the neural networks improve the operation of distance relays during capacitive voltage transformer transients and reduce the effects of system variables such as fault resistance, source impedance and decaying DC offset on the decision made by the distance relay.