High Interest Paper Kalman Filtering Applied to Power System Measurements for Relaying

IEEE Power Engineering Review ◽

10.1109/mper.1987.5527400 ◽

1987 ◽

Vol PER-7 (9) ◽

pp. 21-27

Author(s):

M. S. Sachdev ◽

H. C. Wood ◽

N. S. Johnson

Keyword(s):

Power System ◽

Kalman Filtering ◽

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Kalman Filtering and Control of Water Level in an Interconnected Multi-Reservoir Power System

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)54558-9 ◽

1988 ◽

Vol 21 (17) ◽

pp. 73-78

Author(s):

H. Tamura ◽

T. Kutsumi ◽

H. Nakamura ◽

R. Seki ◽

K. Tanabe ◽

...

Keyword(s):

Power System ◽

Water Level ◽

Kalman Filtering ◽

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Application of Kalman-Filtering with Disturbance Estimation in Power System Frequency Control

10.1109/icpsasia52756.2021.9621530 ◽

2021 ◽

Author(s):

Qian-Qian Qian ◽

Yu-Qing Bao

Keyword(s):

Power System ◽

Kalman Filtering ◽

Frequency Control ◽

Disturbance Estimation ◽

System Frequency

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Maximum Correntropy Extended Kalman Filtering for Power System Dynamic State Estimation

2019 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm40551.2019.8973525 ◽

2019 ◽

Author(s):

S. M. Mohiuddin ◽

Junjian Qi

Keyword(s):

Power System ◽

State Estimation ◽

Kalman Filtering ◽

System Dynamic ◽

Dynamic State ◽

Extended Kalman Filtering ◽

Dynamic State Estimation

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A power system transient state estimation method based on Kalman filtering

2016 24th Signal Processing and Communication Application Conference (SIU) ◽

10.1109/siu.2016.7495727 ◽

2016 ◽

Author(s):

Mehmet Karadeniz ◽

M. Timur Aydemir

Keyword(s):

Power System ◽

State Estimation ◽

Kalman Filtering ◽

Estimation Method ◽

Transient State

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A Prediction-Error Covariance Estimator for Adaptive Kalman Filtering in Step-Varying Processes: Application to Power-System State Estimation

IEEE Transactions on Control Systems Technology ◽

10.1109/tcst.2016.2628716 ◽

2017 ◽

Vol 25 (5) ◽

pp. 1683-1697 ◽

Author(s):

Lorenzo Zanni ◽

Jean-Yves Le Boudec ◽

Rachid Cherkaoui ◽

Mario Paolone

Keyword(s):

Power System ◽

State Estimation ◽

Kalman Filtering ◽

Prediction Error ◽

System State ◽

Power System State Estimation ◽

Error Covariance ◽

Covariance Estimator

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Electric power system static state estimation through Kalman filtering and load forecasting

2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century ◽

10.1109/pes.2008.4596742 ◽

2008 ◽

Author(s):

E. A. Blood ◽

B. H. Krogh ◽

M. D. Ilic

Keyword(s):

Power System ◽

State Estimation ◽

Electric Power ◽

Kalman Filtering ◽

Load Forecasting ◽

Electric Power System ◽

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A Multi-Model Adaptive Kalman Filtering Approach to Power System Dynamic State Estimation

2019 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm40551.2019.8974102 ◽

2019 ◽

Author(s):

Shahrokh Akhlaghi ◽

Ning Zhou ◽

Zhenyu Huang

Keyword(s):

Power System ◽

State Estimation ◽

Kalman Filtering ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation ◽

Filtering Approach

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Application of Kalman filtering for continuous real-time tracking of power system harmonics

IEE Proceedings - Generation Transmission and Distribution ◽

10.1049/ip-gtd:19970550 ◽

1997 ◽

Vol 144 (1) ◽

pp. 13 ◽

Author(s):

V.M. Moreno Saiz ◽

J. Barros Guadalupe

Keyword(s):

Power System ◽

Real Time ◽

Kalman Filtering ◽

Power System Harmonics ◽

Real Time Tracking

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On false data injection attacks against Kalman filtering in power system dynamic state estimation

Security and Communication Networks ◽

10.1002/sec.835 ◽

2013 ◽

Vol 9 (9) ◽

pp. 833-849 ◽

Author(s):

Qingyu Yang ◽

Liguo Chang ◽

Wei Yu

Keyword(s):

Power System ◽

State Estimation ◽

Kalman Filtering ◽

System Dynamic ◽

Dynamic State ◽

False Data Injection ◽

Injection Attacks ◽

Dynamic State Estimation

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Kalman Filtering Applied to Power System Measurements Relaying

IEEE Transactions on Power Apparatus and Systems ◽

10.1109/tpas.1985.318911 ◽

1985 ◽

Vol PAS-104 (12) ◽

pp. 3565-3573 ◽

Author(s):

H.C. Wood ◽

N.G. Johnson ◽

M.S. Sachdev

Keyword(s):

Power System ◽

Kalman Filtering

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