Quasi Steady-State Model for Power System Stability: Limitations, Analysis and a Remedy

TL;DR

This paper examines the limitations of the quasi steady-state (QSS) model in long-term power system stability analysis, analyzes its failures, and proposes a hybrid model to improve stability assessment accuracy.

Contribution

It identifies the causes of QSS model failures and introduces a hybrid model that better captures long-term instabilities in power systems.

Findings

QSS model can be stable while long-term model is unstable

Hybrid model successfully detects long-term instabilities

Numerical examples validate the hybrid model's effectiveness

Abstract

The quasi steady-state (QSS) model tries to reach a good compromise between accuracy and efficiency in long-term stability analysis. However, the QSS model is unable to provide correct approximations and stability assessment for the long-term stability model consistently. In this paper, some numerical examples in which the QSS model was stable while the long-term stability model underwent instabilities are presented with analysis in nonlinear system framework. At the same time, a hybrid model which serves as a remedy to the QSS model is proposed according to causes for failure of the QSS model and dynamic mechanisms of long-term instabilities. Numerical examples are given to show that the developed hybrid model can successfully capture unstable behaviors of the long-term stability model while the QSS model fails.