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

TL;DR

This paper introduces a real-time, model-based framework for assessing frequency stability in modern power systems with high renewable integration, using linear models and parameter estimation from measurements.

Contribution

It presents a novel framework that infers dynamic models from real-time data for frequency stability assessment in power systems with power electronic resources.

Findings

Framework accurately estimates system dynamics in simulations

Models are validated on IEEE 39 bus system

Parameter inference is feasible with real-time measurements

Abstract

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.