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

Artificial neural networks (ANN) are used in various areas of application, in order to reproduce inter dependencies between input and output information, similar to the information processing of the human brain. Especially where analytic modelling and calculation is impossible, or in case of unacceptable calculation times, they present a promising way of problem solving. In this project, the evaluation of the thermal capacity of power 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 power cables