This paper presents an alternative approach to the correction of distorted waveforms caused by the current transformer (CT) saturation. This method uses the Artificial Neural Networks (ANNs) recurrent algorithms. Current transformers are present in the electric power systems for protection and measurements and they are highly susceptible to the saturation phenomenon. The EMTP-ATP software has been chosen as the computational tool to simulate the electrical system in order to generate data to train and test the ANNs. Many ANN architectures were trained and tested. Encouraging results related to the application of the new method are presented.
Saturation; Current Transformers; Artificial Neural Networks; Power Transformers
