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 discusses the parameter estimation problems for the output-error moving
average (OEMA) systems under stochastic environments. The estimation problems with …

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 …

The high impedance fault (HIF) has random, irregular, and unsymmetrical characteristics,
making such a fault difficult to detect in distribution grids via conventional relay …

The unscented Kalman filter (UKF) provides a powerful tool for power system forecasting-
aided state estimation (FASE). However, when the power systems are affected by the …

Kalman filters (KFs) are widely used for state-of-charge (SOC) estimation of Li-ion batteries
due to their excellent dynamic tracking capability. Especially the cubature KF (CKF), with the …

Situation awareness (SA) has been recognized as a critical guarantee for the stable and
secure operation of electric power systems, especially under complex uncertainties after …

GPS receiver is the source of synchronization in phasor measurement unit (PMU) networks.
While it guarantees time precision, it is vulnerable to cyberattacks, which may modify the …

This paper presents a three-phase Distribution System State Estimator (DSSE) based on a
Bayesian inference approach to manage different sampling rates of typical sources of …

This article is concerned with the problem of state estimation for continuous-time polynomial
nonlinear (CTPN) systems with unknown but bounded disturbances. The Taylor polynomial …