Robust hybrid linear state estimator utilizing SCADA and PMU measurements
AS Dobakhshari, M Abdolmaleki… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper intends to improve the accuracy of power system State Estimation (SE) by
introducing a hybrid linear robust state estimator. To this end, automatic bad data rejection is …
introducing a hybrid linear robust state estimator. To this end, automatic bad data rejection is …
A review on distribution system state estimation techniques
M Majdoub, J Boukherouaa, B Cheddadi… - 2018 6th …, 2018 - ieeexplore.ieee.org
Nowadays, with the massive integration of distributed renewable generation, electric
vehicles... to the distribution level of the electricity grid, the traditional strategy for monitoring …
vehicles... to the distribution level of the electricity grid, the traditional strategy for monitoring …
Decentralized robust state estimation of active distribution grids incorporating microgrids based on PMU measurements
The development of active distribution grids brings with it a demand for a higher accuracy of
state estimation. Micro-phasor measurement units (μPMUs) deployed in distribution grids …
state estimation. Micro-phasor measurement units (μPMUs) deployed in distribution grids …
Robust state estimator based on maximum exponential absolute value
In this paper, a robust state estimator based on maximum exponential absolute value
(MEAV) is proposed by using the maximum correntropy criterion with Laplace kernel …
(MEAV) is proposed by using the maximum correntropy criterion with Laplace kernel …
Targeted false data injection attacks against AC state estimation without network parameters
State estimation is a data processing algorithm for converting redundant meter
measurements and other information into an estimate of the state of a power system. Relying …
measurements and other information into an estimate of the state of a power system. Relying …
Tracking power system state evolution with maximum-correntropy-based extended Kalman filter
JAD Massignan, JBA London… - Journal of Modern …, 2020 - ieeexplore.ieee.org
This paper develops a novel approach to track power system state evolution based on the
maximum correntropy criterion, due to its robustness against non-Gaussian errors. It …
maximum correntropy criterion, due to its robustness against non-Gaussian errors. It …
Robust state estimation model for low voltage distribution networks in the presence of multiple gross errors
One of the primary challenges in solving the State Estimation (SE) problem in low voltage
networks is the presence of Gross Errors (GE). If the SE model fails to accurately estimate …
networks is the presence of Gross Errors (GE). If the SE model fails to accurately estimate …
Enhanced maximum exponential square state estimator based on simulation-hyperparameter optimization
X Wang, Y Liu, Z Li, S Sun - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
The maximum exponential square (MES) provides an effective method for robust state
estimation. However, its estimation effect is greatly influenced by the window width. This …
estimation. However, its estimation effect is greatly influenced by the window width. This …
A robust dynamic state estimation method for power systems using exponential absolute value-based estimator
Even though the noise model applied in power system dynamic state estimation (DSE) is
usually assumed to be Gaussian, this is not the case due to the unknown system inputs …
usually assumed to be Gaussian, this is not the case due to the unknown system inputs …
Toward adaptive robust state estimation based on MCC by using the generalized Gaussian density as kernel functions
In this paper, a generic formulation is proposed for robust state estimation (RSE) based on
maximum correntropy criterion (MCC), leading to an adaptive robust state estimator. By …
maximum correntropy criterion (MCC), leading to an adaptive robust state estimator. By …