Power system transient stability analysis in networks with renewable generation considering variable correlations

Modern Power Systems are equipped with new technologies like renewable energy sources (RES) and flexible power-consuming devices. These new technologies introduce uncertainties in system generating and loading profiles which in turn affect the dynamic characteristics, and the stable operation of the system might be at risk. This paper employs sensitivity analysis method for the identification and ranking of critical uncertain parameters affecting transient stability in a large meshed network with renewable generation. Copula method is used in this paper in order to model the correlations between uncertain parameters based on real system data. The paper develops methodology for identifying influential parameters which have the dominant effect on network transient stability behaviour. “Heat Map” is used as graphical representation of the results on which the influence of system uncertainties is clearly demonstrated. Economic and optimal operation of the power system in terms of stability can be achieved through concentrating resources in the monitoring and fine-tuning of the identified critical parameters.