A Robust Data-Driven Koopman Kalman Filter for Power Systems Dynamic State Estimation

2018 ◽  
Vol 33 (6) ◽  
pp. 7228-7237 ◽  
Author(s):  
Marcos Netto ◽  
Lamine Mili
Keyword(s):  
Kalman Filter ◽  
Power Systems ◽  
State Estimation ◽  
Data Driven ◽  
Dynamic State ◽  
Dynamic State Estimation

scholarly journals Comparisons on Kalman-Filter-Based Dynamic State Estimation Algorithms of Power Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 51035-51043 ◽  
Author(s):  
Hui Liu ◽  
Fei Hu ◽  
Jinshuo Su ◽  
Xiaowei Wei ◽  
Risheng Qin
Keyword(s):  
Kalman Filter ◽  
Power Systems ◽  
State Estimation ◽  
Dynamic State ◽  
Estimation Algorithms ◽  
Dynamic State Estimation

scholarly journals Ensemble kalman filter and particle filter-based state estimation on electrical power systems

2021 ◽  
Vol 2090 (1) ◽  
pp. 012016
Author(s):  
Holger Cevallos ◽  
Gabriel Intriago ◽  
Douglas Plaza
Keyword(s):  
Kalman Filter ◽  
Power Systems ◽  
Particle Filter ◽  
State Estimation ◽  
Ensemble Kalman Filter ◽  
Electrical Power ◽  
Dynamic State ◽  
Test Case ◽  
Electrical Power Systems ◽  
Dynamic State Estimation

Abstract In this article, a referential study of the sequential importance sampling particle filter with a systematic resampling and the ensemble Kalman filter is provided to estimate the dynamic states of several synchronous machines connected to a modified 14-bus test case, when a balanced three-phase fault is applied at a bus bar near one of the generators. Both are supported by Monte Carlo simulations with practical noise and model uncertainty considerations. Such simulations were carried out in MATLAB by the Power System Toolbox, whereas the evaluation of the Particle Filter and the Ensemble Kalman Filter by script files developed inside the toolbox. The results obtained show that the particle filter has higher accuracy and more robustness to measurement and model noise than the ensemble Kalman filter, which helps support the feasibility of the method for dynamic state estimation applications.

Distributed dynamic state estimation with extended Kalman filter

2011 ◽  
Author(s):  
Pengwei Du ◽  
Zhenyu Huang ◽  
Yannan Sun ◽  
Ruisheng Diao ◽  
Karanjit Kalsi ◽  
...  
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Extended Kalman Filter ◽  
Dynamic State ◽  
Dynamic State Estimation
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