The selected real tramway substation overload analysis using the optimal structure of an artificial neural network

Abstract

The paper constitutes a continuation of research on load variability of rectifier units. The research are made for the selected tram substation. The performed analysis uses the actual measurements. This time the analysis focuses on relation between the maximum loads and 60 minutes overloads currents. The second part of the paper shows the effectiveness of use of the feedforward type artificial neural network. The effectiveness of the analyze was calculated for 250 times, for 50 cases. The results shown in the paper were obtained for optimal structure of the artificial neural network. The results presented in this publication prove to be the best results among the results known by the authors of the work.