ANN Based Internal Fault Diagnosis of HVDC Converter Transformer

摘要

Fault diagnosis of HVDC converter transformer is necessary as power quality and reliability is one of the primary concerns of the electrical power utilities. To have a satisfactory working of the HVDC converter transformer it is necessary to analyze the behavior of the transformer for various fault conditions. The application of Artificial Neural Networks (ANN) for the fault diagnosis in the HVDC converter transformer is presented in this paper. The normalized data is given for the training of the artificial neural network using the back propagation algorithm and is tested. The simulation results are presented in this paper. The results have shown good agreement with the published work.