Probabilistic Stability Assessment for Active Distribution Grids

TL;DR

This paper introduces a probabilistic stability assessment method for active distribution grids, demonstrating its effectiveness in analyzing large-signal stability during faults using an open-source simulation environment.

Contribution

It presents a novel probabilistic approach for stability assessment that extends classical methods by evaluating operational limits during transients across various operating points and failures.

Findings

Probabilistic stability analysis has broad application potential.

New non-intuitive stability correlations were identified.

The method is computationally efficient and validated against commercial software.

Abstract

This paper demonstrates the concept of probabilistic stability assessment on large-signal stability in the use case of short circuits in an active distribution grid. Here, the concept of survivability is applied, which extends classical stability assessments by evaluating the stability and operational limits during transients for a wide range of operating points and failures. For this purpose, a free, open-source, and computationally efficient environment (Julia) for dynamic simulation of power grids is used to demonstrate its capabilities. The model implementation is validated against established commercial software and deviations are minimal with respect to power flow and dynamic simulations.The results of a large-scale survivability analysis reveal i) a broad field of application for probabilistic stability analysis and ii) that new non-intuitive stability correlations can be obtained. Hence,the proposed method shows strong potential to efficiently conduct power system stability analysis in active distribution grids.