Evaluation of nonsteady loading limits for network components using artificial neural networks

Today, artificial neural networks (ANN) are used in various areas of application, in order to reproduce interdependencies between input and output information similar to the information processing of the human brain. Especially where analytic modelling and calculation is impossible, or in the case of unacceptable calculation times, they present a promising way of problem solving. In this project, the evaluation of the thermal capacity of energy cables, with load curves as input data, is discussed by using an ANN approach. The presented work deals with the calculation of the temperature during normal and faulty operation. The configuration of the ANN is chosen according to this problem and in addition, the input data, especially for training purposes, is analysed. The results underline sufficient exactness for load limit calculations concerning the thermal behaviour of energy cables