International Journal of Applied Engineering Research

  • Year: 2009
  • Volume: 4
  • Issue: 6

ANN Based Internal Fault Diagnosis of HVDC Converter Transformer

  • Author:
  • Pannala Krishna Murthy1, J. Amarnath2, B.P. Singh3, S. Kamakshaiah iven-names>4
  • Total Page Count: 10
  • DOI:
  • Page Number: 867 to 876

1Swarna Bharathi Institute of Science and Technology, Khammam, – 507002.

2Jawaharlal Nehru Technological University, Kukatpally, Hyderabad – 500084.

3Jyotishmathi college of engineering and Technology, Turakapally, Shameerpet.

4CVR Engineering College, Ibrahimpatnam, Hyderabad. .

Abstract

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.

Keywords

Artificial Neural Network, Back-Propagation Algorithm, HVDC converter transformer