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 …

State estimation (SE) is an essential tool of energy management systems (EMS), providing
power system operators with an overall grasp of the actual power system operating …

This paper develops a new robust generalized maximum-likelihood-type unscented Kalman
filter (GM-UKF) that is able to suppress observation and innovation outliers while filtering out …

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 …

In the past decade, dramatic progress has been made in the field of machine learning. This
paper explores the possibility of applying deep learning in power system state estimation …

Power system state estimation (PSSE) is commonly formulated as weighted least-square
(WLS) algorithm and solved using iterative methods such as Gauss-Newton methods …

Aiming at the problem that the navigation performances of unmanned underwater vehicle
(UUV) may be affected by inaccurate prior navigation information and external …

Several wired and wireless advanced communication technologies have been used for
coordinated voltage regulation schemes in distribution systems. These technologies have …

Abstract Stealthy False Data Injection (SFDI) attacks in power systems can lead to a large-
scale cascading failure, if not detected and eliminated quickly. The impact of such attacks …

High‐density synchrophasors provide valuable information for power grid situational
awareness, operation and control. Unfortunately, due to factors including communication …