A Probabilistic Framework for Power System Large-Disturbance Global Instability Risk Assessment in the Presence of Renewable Wind Generation

TL;DR

This paper introduces a probabilistic framework to assess power system stability risks during large disturbances, considering renewable wind generation impacts, and demonstrates how high wind penetration can improve system stability through case studies.

Contribution

It presents a novel probabilistic risk-based method for global instability assessment that incorporates renewable wind generation effects in power systems.

Findings

Higher wind penetration improves system stability.

Changing generation and load affect the global instability index.

The framework effectively evaluates stability risks under various scenarios.

Abstract

The increasing demand of large scale wind integration in the conventional power system brings a lot of challenges. One of them is the stability of the power system when subjected to a large disturbance, such as a fault. This paper proposes a probabilistic risk-based framework for computing a global instability index, incorporating angle, voltage, and frequency stability, for a large disturbance. Moreover, the impact of high wind penetration on this index is also observed. Case studies and associated simulations are conducted on the IEEE 39-bus test system using DIgSILENT PowerFactory software. The results show that higher penetration of wind generation enhances the global stability of the power system. Moreover, the impact of changing system generation and load is studied on the global instability index.