Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods
Power system state estimation is being faced with different types of anomalies. These might
include bad data caused by gross measurement errors or communication system failures …
include bad data caused by gross measurement errors or communication system failures …
Power system anomaly detection and classification utilizing WLS-EKF state estimation and machine learning
Power system state estimation is being faced with different types of anomalies. These might
include bad data caused by gross measurement errors or communication system failures …
include bad data caused by gross measurement errors or communication system failures …
Online adaptive model identification and state of charge estimation for vehicle-level battery packs
X Wu, J Shu, Z Fan, J Xie, Y Li, J Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate state of charge (SoC) estimation of traction batteries plays a crucial role in energy
and safety management for electric vehicles (EVs). Existing studies focus primarily on cell …
and safety management for electric vehicles (EVs). Existing studies focus primarily on cell …
A robust state estimation method for power systems using generalized correntropy loss function
The accurate estimation of power system states is crucial for effective monitoring and control.
However, the performance of conventional state estimators, which assume Gaussian …
However, the performance of conventional state estimators, which assume Gaussian …
Adaptive divided difference filter for power systems dynamic state estimation with outliers and unknown noise covariance
S Chatterjee, A Chowdhury, A Dey… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Power Systems Dynamic State Estimation (PSDSE) using hybrid measurements from
Phasor Measurement Units (PMUs) and Remote Terminal Units (RTUs) in the presence of …
Phasor Measurement Units (PMUs) and Remote Terminal Units (RTUs) in the presence of …
Gaussian kernel quadrature Kalman filter
The solution to practical nonlinear filtering problems broadly relies on Gaussian filtering. The
Gaussian filtering involves intractable integrals that are numerically approximated during the …
Gaussian filtering involves intractable integrals that are numerically approximated during the …
Dynamic state estimation of power systems considering maximum correlation entropy and quadratic function
Uncertainties such as abnormal system inputs, strong model nonlinearities, outliers and
impulsive noise unavoidably exist in the power system dynamic state estimation (SE)(DSE) …
impulsive noise unavoidably exist in the power system dynamic state estimation (SE)(DSE) …
An Optimization‐Based Robust Dynamic State Estimation for Power Systems with Synchronized Phasor Measurement Units, Involving Disturbance Rejection
V Hakimian, H Seifi - International Transactions on Electrical …, 2023 - Wiley Online Library
State estimation provides the best estimate of the system states using a set of measurements
that is divided into two main classes; static and dynamic types. The state estimator should …
that is divided into two main classes; static and dynamic types. The state estimator should …
Outlier-detection-based ekf for power systems
H Gu, Z Hu, J Wang, B Chen… - 2022 IEEE electrical power …, 2022 - ieeexplore.ieee.org
This paper investigates the state estimation problem for the power systems suffering from
outliers, and a mixed outlier detection (MOD) method in extended Kalman filter (EKF) is …
outliers, and a mixed outlier detection (MOD) method in extended Kalman filter (EKF) is …
A DC Estimation Method to Improve the Accuracy of DC Power Flow
L Yi, T Yuchen, Z Wentao, G Ruipeng… - Journal of Physics …, 2023 - iopscience.iop.org
The DC power flow (DCPF) method greatly simplifies the process of power flow calculation
compared with the AC power flow (ACPF) method. However, when the DCPF method is …
compared with the AC power flow (ACPF) method. However, when the DCPF method is …