Apresentação do Artigo Final
Application of Artificial Neural Networks and Wavelet Transform to Classify Advanced Power Quality Disturbances in Smart Grids Power quality (PQ) is an essential branch of power system engineering. It plays a critical role in ensuring the quality of power being delivered to the customers. The emergence of smart grids highlights, even more, the importance of power quality. Currently, numerous devices capture the waveform of different disturbances in the electrical distribution network. However, most companies in this sector do not process this information or automatically classify these transients. This paper presents an identification scheme for the classification of PQ disturbances in electrical distribution systems using Discrete Wavelet Toolbox (DWT) and Artificial Neural Networks (ANNs). The software MATLAB/Simulink was used to model six PQ disturbances conditions, using reliable schemes to be consistent with what happens in real three-phase distribution systems. Three ANNs were...