2018-10-012018-10-012018-07-11MORAIS JUNIOR, Albino Moisés Faro de. Previsão de distorção harmônica em cargas residenciais utilizando redes neuro-fuzzy. Orientadora: Maria Emília de Lima Tostes. 2018. 111 f. Dissertação (Mestrado em Engenharia Elétrica) - Instituto de Tecnologia, Universidade Federal do Pará, Belém, 2018. Disponível em: <http://repositorio.ufpa.br/jspui/handle/2011/10267>. Acesso em:.https://repositorio.ufpa.br/handle/2011/10267This work presents a modeling for THDv%, THDi% and individual harmonics using predictions from an ANFIS system that learns with measured data and predicts the behavior of the network for future values. These forecasts can help meet national THDv% standards stipulated by the Agência Nacional de Energia Elétrica (ANEEL) through Distribution Procedures (PRODIST), such as THDi% international standards, thus anticipating the currently recommended standards, but in the near future will be punitive. The modeling is performed by means of a Neuro-Fuzzy system called ANFIS, which uses neural network to learn the behavior of the system and adjustment of the parameters and Fuzzy rule for the determination of the system output values taking into account the learning of the Neural network. The great advantage of this tool is the power of modeling standards using a prediction of the harmonic state of the connected loads in the low voltage, which helps in the creation of pseudomedidas for the distribution networks, where it is difficult and costly to obtain real measurements. Among the practical applications for this tool is the use of the predicted values instead of measured anomalous values, the use in energy meters to predict and avoid exceeding the values of Harmonic Distortion stipulated in standard and the use as a basis for the prediction of individual harmonics that can be used in harmonic load flow studies.Acesso AbertoQualidade de energia elétricaModelagemDistorções harmônicas de tensãoDistorções harmônicas de correnteSistema neuro-fuzzyANFIS - Sistema de interferência difusa baseada em rede adaptativa.Electric power qualityModelingHarmonic distortionNeuro-fuzzy systemANFIS - Adaptive network-based fuzzy interferece systemPrevisão de distorção harmônica em cargas residenciais utilizando redes neuro-fuzzyPrediction of harmonic distortion in residential loads using neurofuzzy networksDissertaçãoCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::SISTEMAS ELETRICOS DE POTENCIASISTEMAS DE POTÊNCIASISTEMAS DE ENERGIA ELÉTRICA