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Artificial Neural Network Based Fault Location Estimation of Double Circuit Transmission Line
2017
International Journal for Research in Applied Science and Engineering Technology
An accurate fault location estimation algorithm based on application of artificial neural networks (ANN) for the protection of double circuit transmission lines is presented. The proposed Artificial Neural Network (ANN) protection scheme uses fundamental components of three phase voltages and current signals of both the circuits to learn the hidden relationship in the input patterns. This method is adaptive to the variation of fault resistance, fault inception angle and fault location. The
doi:10.22214/ijraset.2017.10174
fatcat:3c6xftoggjb7nftk6pf3pkvzyq