This survey paper discusses the fundamentals of power systems modelling in the presence
of large amounts of converter-interfaced generation (CIG). By referring to real-life events …

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 …

This paper summarizes the technical activities of the Task Force on Power System Dynamic
State and Parameter Estimation. This Task Force was established by the IEEE Working …

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 …

Dynamic state estimation (DSE) accurately tracks the dynamics of a power system and
provides the evolution of the system state in real-time. This paper focuses on the control and …

Due to the communication channel noises, GPS synchronization process, changing
environment temperature and different operating conditions of the system, the statistics of …

Accurate fault location methods for transmission lines are essential to ensure secure and
reliable operation of power systems. Among various fault location approaches, model-based …

The widely used traditional Kalman filter-type power system dynamic state estimator is
unable to address the unknown and non-Gaussian system process and measurement noise …

This paper proposes a new fault location method for transmission lines in MMC-HVDC grids
based on dynamic state estimation (DSE) and gradient descent. The method only requires a …

This paper presents a new theoretical framework that, by integrating robust statistics and
robust control theory, allows us to develop a robust dynamic state estimator of a cyber …