PMU-based dynamic state and parameter estimation for dynamic security assessment in power systems -- Ultimate boundedness in the presence of measurement noise
Systems and Control2022-09-01v1Systems and Control
Dynamic state and parameter estimation methods for dynamic security assessment in power systems are becoming increasingly important for system operators. Usually, the data used for this type of applications stems from phasor measurement units (PMUs) and is corrupted by noise. In general, the impact of the latter may significantly deteriorate the estimation performance. This motivates the present work, in which it is proven that the state and parameter estimation method proposed by part of the authors in [1] and extended in [2] features the property that the estimation errors are ultimately bounded in the presence of PMU measurement data corrupted by bounded noise. The analysis is conducted for the third-order flux-decay model of a synchronous generator and holds independently of the employed automatic voltage regulator and power system stabilizer (if present). The analysis is illustrated by simulations.
@article{arxiv.2208.14511,
title = {PMU-based dynamic state and parameter estimation for dynamic security assessment in power systems -- Ultimate boundedness in the presence of measurement noise},
author = {Nicolai Lorenz-Meyer and René Suchantke and Johannes Schiffer},
journal= {arXiv preprint arXiv:2208.14511},
year = {2022}
}