Classificação de Distúrbios de Qualidade da Energia Elétrica em Tempo Real

The Power Quality analysis in the Electrical Power System is very important in order to promote a stable system. Thus, this paper introduces a neural network-based method to classify different types of disturbances sample by sample. In the classification process, we used Power Quality parameter estimation techniques to extract the features to be used in the model. The model was generated and validated, obtaining satisfactory results.