Preisträger des HIGHVOLT-Preises für die beste Abschlussarbeit an der Hochschule Zittau/Görlitz.

The objective of this thesis was to implement an Al system to analyse the static voltage stability of power grids and assess its efficacy in achieving faster computation times compared to existing approaches.

To carry out this implementation, a training dataset of randomly generated cases for a 5 bus grid was created using the load flow calculation and dV /dQ sensitivity analysis in the Power Factory program. Various artificial neural networks were optimised using the pruning function in the DataEngine programme and implemented using the Python library Keras. The evaluation focused on applicability, the impact of reducing features and cleaning the dataset, as well as examining variations in power grid size.