Research trends and applications of PMUs

G Paramo, A Bretas, S Meyn - Energies, 2022‏ - mdpi.com
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 …

Power system dynamic state estimation: Motivations, definitions, methodologies, and future work

J Zhao, A Gómez-Expósito, M Netto… - … on Power Systems, 2019‏ - ieeexplore.ieee.org
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 …

A survey on state estimation techniques and challenges in smart distribution systems

K Dehghanpour, Z Wang, J Wang… - IEEE Transactions on …, 2018‏ - ieeexplore.ieee.org
This paper presents a review of the literature on state estimation (SE) in power systems.
While covering works related to SE in transmission systems, the main focus of this paper is …

Roles of dynamic state estimation in power system modeling, monitoring and operation

J Zhao, M Netto, Z Huang, SS Yu… - … on Power Systems, 2020‏ - ieeexplore.ieee.org
Power system dynamic state estimation (DSE) remains an active research area. This is
driven by the absence of accurate models, the increasing availability of fast-sampled, time …

Robust unscented Kalman filter for power system dynamic state estimation with unknown noise statistics

J Zhao, L Mili - IEEE Transactions on Smart Grid, 2017‏ - ieeexplore.ieee.org
Due to the communication channel noises, GPS synchronization process, changing
environment temperature and different operating conditions of the system, the statistics of …

Robust power system state estimation with minimum error entropy unscented Kalman filter

L Dang, B Chen, S Wang, W Ma… - IEEE Transactions on …, 2020‏ - ieeexplore.ieee.org
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 …

[HTML][HTML] PMU-based real-time distribution system state estimation considering anomaly detection, discrimination and identification

N Veerakumar, D Ćetenović, K Kongurai… - International Journal of …, 2023‏ - Elsevier
In this paper, a real-time state estimation platform for distribution grids monitored by Phasor
Measurement Units (PMUs) is developed, tested, and validated using Real Time Digital …

Assessment on power systems non-deterministic state estimation algorithms

I Lopez-Ramirez, JE Rodriguez-Seco… - Electric Power Systems …, 2023‏ - Elsevier
Power systems are operated in a deterministic way. However, the increase in uncertainties
(caused by measurement and communication errors or the absence of complete knowledge …

A robust generalized-maximum likelihood unscented Kalman filter for power system dynamic state estimation

J Zhao, L Mili - IEEE journal of selected topics in signal …, 2018‏ - ieeexplore.ieee.org
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 …

A framework for robust hybrid state estimation with unknown measurement noise statistics

J Zhao, L Mili - IEEE Transactions on Industrial Informatics, 2017‏ - ieeexplore.ieee.org
In practical applications like power systems, the distribution of the measurement noise is
usually unknown and frequently deviates from the assumed Gaussian model, yielding …