Análise do carregamento de sistemas de subtransmissão e de distribuição usando redes neurais artificiais

Abstract

The monitoring of the electrical components loading is an aspect of great importance to any power system, since the components safety conditions can be observed from it. The present study proposes a computational method based on Artificial Neural Networks to monitor the electrical components loading of the power distribution system, as transformers, feeders and subtransmission lines. Based on the data collected from the substations meters, containing the electric current values of the considered component, two analyses are done: with load transfer and without load transfer. Thus, the aim is to determine the current maximum values in both situations to the corresponding transformer, feeder, or subtransmission line analyzed. Then it is sought to obtain the maximum loading in both cases and, from these values, to determinate whether or not the component is operating in good safety conditions. The maximum current with load transfer is simple to obtain, because it consists only in the maximum value of electrical current data without any deeper analysis. However, the maximum current without load transfer is very complex to be determined, once the atypical conditions of the data must be eliminated. Thereby, a method using Artificial Neural Networks was developed to estimate the values of the current to the analyzed components. The results were very close to the real ones, proving the effectiveness of the method. Finally, it can be concluded that the monitoring is perfectly possible to be performed, allowing greater control over the loadings, avoiding damages to both the distribution system and the power system as a whole.