A performance comparison between extended Kalman Filter and unscented Kalman Filter in power system dynamic state estimation

H Khazraj, FF Da Silva, CL Bak - 2016 51st International …, 2016 - ieeexplore.ieee.org
Dynamic State Estimation (DSE) is a critical tool for analysis, monitoring and planning of a
power system. The concept of DSE involves designing state estimation with Extended …

Dynamic state estimation of a grid-connected converter of a renewable generation system using adaptive cubature Kalman filtering

J Zhang, T Bi, H Liu - International Journal of Electrical Power & Energy …, 2022 - Elsevier
Renewable energy sources are typically integrated with the grid through power electronic
converters. A novel dynamic state estimation (DSE) method for the grid-connected converter …

A regularized state estimation scheme for a robust monitoring of the distribution grid

A Tsitsimelis, C Antón-Haro - International Journal of Electrical Power & …, 2020 - Elsevier
In this paper, we propose a regularized state estimation (SE) scheme for the distribution grid.
The ultimate goal is to track accurately the system state at a faster time scale according to …

An L-1 Regularized Forecasting-Aided State Estimator for Active Distribution Networks

R Dutta, SJ Geetha, S Chakrabarti… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the increased penetration of intermittent distributed energy resources (DERs) and the
inclusion of complex loads, the states of an active distribution network (ADN) can experience …

[引用][C] Evaluation of extended Kalman filter and particle filter approaches for quasi-dynamic distribution system state estimation

A Brüggemann, K Görner, C Rehtanz - CIRED-Open Access Proceedings …, 2017 - IET
Monitoring of distribution systems plays an important role in the enhancement of today's
distribution systems for future requirements. Tasks of distribution system operation are …

Probabilistic assessment of the process-noise covariance matrix of discrete Kalman filter state estimation of active distribution networks

L Zanni, S Sarri, M Pignati, R Cherkaoui… - … Methods Applied to …, 2014 - ieeexplore.ieee.org
The accuracy of state estimators using the Kalman Filter (KF) is largely influenced by the
measurement and the process noise covariance matrices. The former can be directly …

Iterated unscented Kalman filter-based maximum power point tracking for photovoltaic applications

AK Abdelsalam, S Goh, O Abdelkhalik… - IECON 2013-39th …, 2013 - ieeexplore.ieee.org
One of main challenges in harvesting power from a PV source is maximum power point
tracking (MPPT). This is due to the nonlinear behaviour and characteristics of PV arrays …

Distributed Kalman filter for large-scale power systems with state inequality constraints

Z Cheng, H Ren, B Zhang, R Lu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article is concerned with a hybrid distributed dynamic state estimation (DSE) algorithm
for large-scale power grids. Based on the mixed phasor measurement unit (PMU) and …

[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 …

Historical data-driven state estimation for electric power systems

Y Weng, R Negi, MD Ilić - 2013 IEEE International Conference …, 2013 - ieeexplore.ieee.org
This paper is motivated by major needs for accurate on-line state estimation (SE) in the
emerging electrical energy systems; accurate state and topology are needed to support …