Research trends and applications of PMUs
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 …
solve major problems in the areas of power system estimation, protection, and stability. A …
Power system dynamic state estimation: Motivations, definitions, methodologies, and future work
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 …
State and Parameter Estimation. This Task Force was established by the IEEE Working …
Recursive filtering of networked nonlinear systems: A survey
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 …
systems, is an ever-increasing research topic from the control and computer communities …
Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine
With the advancement of wind energy, solar energy, and other new energy industries, the
demand for energy storage systems are worth increasing. Supercapacitors gradually stand …
demand for energy storage systems are worth increasing. Supercapacitors gradually stand …
Distributed recursive fault estimation with binary encoding schemes over sensor networks
In this paper, we investigate the distributed recursive fault estimation problem for a class of
discrete time-varying systems with binary encoding schemes over a sensor network. The …
discrete time-varying systems with binary encoding schemes over a sensor network. The …
Robust unscented Kalman filter for power system dynamic state estimation with unknown noise statistics
Due to the communication channel noises, GPS synchronization process, changing
environment temperature and different operating conditions of the system, the statistics of …
environment temperature and different operating conditions of the system, the statistics of …
Robust power system state estimation with minimum error entropy unscented Kalman filter
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 …
aided state estimation (FASE). However, when the power systems are affected by the …
Robust power system forecasting-aided state estimation with generalized maximum mixture correntropy unscented Kalman filter
As an effective method for power system forecasting-aided state estimation (FASE), the
unscented Kalman filter (UKF) based on correntropy has been widely used in recent years …
unscented Kalman filter (UKF) based on correntropy has been widely used in recent years …
[HTML][HTML] A Comprehensive Review of Hybrid State Estimation in Power Systems: Challenges, Opportunities and Prospects
Due to the increasing demand for electricity, competitive electricity markets, and economic
concerns, power systems are operating near their stability margins. As a result, power …
concerns, power systems are operating near their stability margins. As a result, power …
Online smart meter measurement error estimation based on EKF and LMRLS method
This paper presents an online smart meter measurement error estimation algorithm.
Extended Kalman filter (EKF) and limit memory recursive least square (LMRLS) methods are …
Extended Kalman filter (EKF) and limit memory recursive least square (LMRLS) methods are …