  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.
