Application of artificial neural networks in network calculations

We describe radial basis functions as a special form of artificial neural networks and test whether they are applicable to power systems. In the application to distance protection, the dividing and filtering capability are in the centre of interest. In modelling of equivalent circuits for external networks, primarily the static case is important. In the dynamic case the research is started by using the E′ model and the Park equations for generator modelling.