Evaluation of losses in electrical subtransmission networks by neural network modeling

Abstract

Determining technical losses in an electrical system is highly complex due to the large amount of information required for its evaluation. A solution to this problem is the evaluation of losses using an artificial neural network. In this work, a model for evaluating technical losses in subtransmission electrical networks was obtained by using artificial neural networks. This model considers the effective length of the circuit, the maximum apparent and active power, the resistance in the conductors and the number of clients connected to the circuit. The simulation results established a mean square error of 0.0028 and a correlation coefficient between the variables involved of 0.980. The proposed artificial neural network model resulted satisfactory for evaluating technical losses in electrical subtransmission networks.