In this paper, a past-aware state estimation (PASE) method (for static state estimation) is
proposed for power distribution systems, which takes previous estimates into account to …

Distribution system state estimation (DSSE) is essential for smart grid monitoring and
control. Bus voltage phasors and, consequently, DSSE uncertainty can be significantly …

The state estimator's real-time state information plays a vital role in monitoring and control of
the power system. As a result, one of the primary requirements of the estimator is to provide …

This article proposes a forecasting-aided medium-voltage (MV) distribution system state
estimation (SE) method using a robust ensemble Kalman filter (REnKF). In the proposed …

This paper is motivated by major needs for accurate on-line state estimation (SE) in the
emerging electrical energy systems; accurate state and topology are needed to support …

This paper demonstrates the feasibility of implementing real-time state estimators for active
distribution networks in field-programmable gate arrays (FPGAs) by presenting an …

A new estimation method for power system dynamic state estimation, the unscented Kalman
filter (UKF), is presented. It is based on the application of the unscented transformation (UT) …

The Kalman-filter-based algorithms as the mainstream algorithms of dynamic state
estimation of power systems have been extensively used to provide accurate data for power …

This paper presents a new method for the assessment of the process noise covariance
matrix for three-phase dynamic state estimation in unbalanced active distribution networks …

This paper proposes a decentralized derivative-free dynamic state estimation method in the
context of a power system with unknown inputs, to address cases when system linearization …