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

2016 51st International Universities Power Engineering Conference (UPEC) ◽

10.1109/upec.2016.8114125 ◽

2016 ◽

Cited By ~ 10

Author(s):

Hesam Khazraj ◽

F. Faria da Silva ◽

Claus Leth Bak

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Extended Kalman Filter ◽

Unscented Kalman Filter ◽

Performance Comparison ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation ◽

A Performance

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Adaptive Robust Unscented Kalman Filter for Power System Dynamic State Estimation

10.23919/ccc52363.2021.9550600 ◽

2021 ◽

Author(s):

Xinghua Liu ◽

Jianwei Guan ◽

Xiang Gao ◽

Yuanzhe Wang

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Unscented Kalman Filter ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation

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A Theoretical Framework of Robust H-Infinity Unscented Kalman Filter and Its Application to Power System Dynamic State Estimation

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2019.2908910 ◽

2019 ◽

Vol 67 (10) ◽

pp. 2734-2746 ◽

Cited By ~ 17

Author(s):

Junbo Zhao ◽

Lamine Mili

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Unscented Kalman Filter ◽

Theoretical Framework ◽

System Dynamic ◽

Dynamic State ◽

H Infinity ◽

Dynamic State Estimation

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Unscented Kalman filter for power system dynamic state estimation

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2010.0210 ◽

2011 ◽

Vol 5 (1) ◽

pp. 29 ◽

Cited By ~ 190

Author(s):

G. Valverde ◽

V. Terzija

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Unscented Kalman Filter ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation

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A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2016.2628344 ◽

2017 ◽

Vol 32 (4) ◽

pp. 3205-3216 ◽

Cited By ~ 117

Author(s):

Junbo Zhao ◽

Marcos Netto ◽

Lamine Mili

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Extended Kalman Filter ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation ◽

Iterated Extended Kalman Filter

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A robust extended Kalman filter for power system dynamic state estimation using PMU measurements

2016 IEEE Power and Energy Society General Meeting (PESGM) ◽

10.1109/pesgm.2016.7741374 ◽

2016 ◽

Cited By ~ 10

Author(s):

Marcos Netto ◽

Junbo Zhao ◽

Lamine Mili

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Extended Kalman Filter ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation

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Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2017.2761452 ◽

2019 ◽

Vol 10 (2) ◽

pp. 1215-1224 ◽

Cited By ~ 42

Author(s):

Junbo Zhao ◽

Lamine Mili

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Unscented Kalman Filter ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation ◽

Noise Statistics

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Advantage of Unscented Kalman Filter Over Extended Kalman Filter in Dynamic State Estimation of Power System Network

Michael Faraday IET International Summit 2015 ◽

10.1049/cp.2015.1644 ◽

2015 ◽

Cited By ~ 2

Author(s):

M. Rampelli ◽

D. Jena

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Extended Kalman Filter ◽

Unscented Kalman Filter ◽

Dynamic State ◽

Dynamic State Estimation

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The PMU-Based Power System Dynamic State Estimation Using Extended Kalman Filter

Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology ◽

10.2991/icmmct-16.2016.233 ◽

2016 ◽

Author(s):

Xianing Jin ◽

Guanqun Wang ◽

Zhenyu Xue ◽

Chongbo Sun ◽

Yi Song

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Extended Kalman Filter ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation

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An agent-based approach to power system dynamic state estimation through dual unscented Kalman filter and artificial neural network

Soft Computing ◽

10.1007/s00500-019-03809-7 ◽

2019 ◽

Vol 23 (23) ◽

pp. 12585-12606

Author(s):

Sassan Goleijani ◽

Mohammad Taghi Ameli

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Kalman Filter ◽

Power System ◽

State Estimation ◽

Unscented Kalman Filter ◽

System Dynamic ◽

Dynamic State ◽

Agent Based ◽

Dynamic State Estimation

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A Robust Generalized-Maximum Likelihood Unscented Kalman Filter for Power System Dynamic State Estimation

IEEE Journal of Selected Topics in Signal Processing ◽

10.1109/jstsp.2018.2827261 ◽

2018 ◽

Vol 12 (4) ◽

pp. 578-592 ◽

Cited By ~ 30

Author(s):

Junbo Zhao ◽

Lamine Mili

Keyword(s):

Kalman Filter ◽

Maximum Likelihood ◽

Power System ◽

State Estimation ◽

Unscented Kalman Filter ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation ◽

Generalized Maximum Likelihood

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