# Frequency stability assessment of modern power systems: models definition and parameters identification

arXiv: https://arxiv.org/abs/2104.07330 · HTML: https://mlsanity.com/paper/2104.07330/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Apr 2021.

## Built on by (most cited first, 1 of 1)

- [Data-driven Under Frequency Load Shedding Using Reinforcement Learning](https://mlsanity.com/paper/2410.04316/) (2024)

## Abstract (arXiv)

One of the fundamental concerns in the operation of modern power systems is the assessment of their frequency stability in case of inertia-reduction induced by the large share of power electronic interfaced resources. Within this context, the paper proposes a framework that, by making use of linear models of the frequency response of different types of power plants, including also grid--forming and grid-following converters, is capable to infer a numerically tractable dynamical model to be used in frequency stability assessment. Furthermore, the proposed framework makes use of models defined in a way such that their parameters can be inferred from real-time measurements feeding a classical least squares estimator. The paper validates the proposed framework using a full-replica of the dynamical model of the IEEE 39 bus system simulated in a real-time platform.