Understanding and quantifying the inertia of power systems with the integration of converter-
interfaced generation (CIG) plays an essential role in the safe transition to a future low …

State estimation (SE) is indispensable for the situational awareness of power systems.
Conventional SE is fed by measurements collected from the supervisory control and data …

Power system dynamic state estimation (DSE) remains an active research area. This is
driven by the absence of accurate models, the increasing availability of fast-sampled, time …

The results of testing the algorithms of the adaptive model of a synchronous generator using
theoretical and real physical data are presented in this study. The adaptive model of a …

With the increasing integration of renewable and non-synchronous resources, the declining
level of inertia poses a threat to the stability of power systems. This paper delves into the …

The massive integration of clean energy and renewable energy source (RES) is one of the
most important trends in the low carbon energy transition toward carbon neutrality. Such an …

Sharing the dynamic states among power system generators is crucial for wide-area
monitoring, decentralized control, and protection of the prospective smart grid. However, this …

This paper proposes a new method to estimate parameters of a synchronous generator
using measurements taken under unbalanced operating conditions. The new method is …

Load shedding is performed, as last option, for emergency measure when system frequency
drifts below the allowed limit. Utilities use underfrequency load shedding schemes to bring …

This paper presents a parameter estimation technique for a variable-speed wind turbine with
permanent magnet synchronous generator and back-to-back voltage source converter. The …