The increased penetration of distributed energy resources (DER) will significantly increase
the number of devices that are owned and controlled by consumers and third‐parties. These …

This work is a survey of current trends in applications of PMUs. PMUs have the potential to
solve major problems in the areas of power system estimation, protection, and stability. A …

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 …

Recursive filtering for nonlinear systems, one of the core technologies of modern industrial
systems, is an ever-increasing research topic from the control and computer communities …

This work describes the development of a vehicle state estimator, designed to be employed
onboard in real-time, based on the data acquisitions already available within the vehicle …

Abstract State-of-charge (SOC) estimation is one of the key technologies for the
development and application of battery management system (BMS). To achieve high …

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 …

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 …

Traditional protection methods were inadequate in multiple distributed generations (MDG)
microgrids due to the bidirectional power flow/high fault current in the grid-connected (GC) …

The technical challenge of creating a self-driving vehicle remains an open problem despite
significant advancements from universities, car manufacturers, and technology companies …