PROJECT TITLE :

Dynamic equivalencing of an active distribution network for large-scale Power System frequency stability studies

ABSTRACT:

This study presents an approach for developing the dynamic equivalent model of an active distribution network (ADN), consisting of several micro-grids, for frequency stability studies. The proposed gray-box equivalent model relies on Prony analysis to determine stop time and load damping as the specified modelling parameters. Support vector Clustering (SVC) and grouping procedure are used for aggregation and order-reduction of ADN. This significantly decreases the sensitivity of the estimated parameters to operating purpose changes that, in flip, guarantees the model robustness. This is done through representing the SVC output, that's, clusters, by cluster substitutes. The ultimate ADN dynamic equivalent model is represented by many teams, in which their mutual interactions are taken into consideration by a new developed mathematical-based mostly criterion. Simulation results reveal that the proposed model is robust that could successfully take under consideration the continual and discontinuous uncertainties.