Statistical Assessment of the First-Swing Transient Stability of a Single Machine Infinite Bus Network with Renewable Energy Sources Generation

This paper aims to contribute to a definitive understanding of how the increasing penetration of Converter Interfaced Generation (CIG) Renewable Energy Sources (RES) actually affects the first-swing transient stability of the power systems. A Monte Carlo (MC) probabilistic assessment and statistical analysis are performed on a simple Single Machine Infinite Bus (SMIB) system with RES-CIG. Such approach allows to see how relevant network parameters affecting the stability behave, statistically, for a wide range of penetration levels. In this way, not only the overall change of the stability and relevant system parameters can be explicitly seen, but also their dispersion and outlier behaviour, further helping to explain how the uncertainty of RES actually affects the system dynamic behaviour. The obtained conclusions could be used to analyse more complex real uncertain networks with RES.