Optimal PMU Placement for Power System Dynamic State Estimation by Using Empirical Observability Gramian

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2014.2356797 ◽

2015 ◽

Vol 30 (4) ◽

pp. 2041-2054 ◽

Author(s):

Junjian Qi ◽

Kai Sun ◽

Wei Kang

Keyword(s):

Power System ◽

State Estimation ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation ◽

Pmu Placement ◽

Observability Gramian ◽

Optimal Pmu Placement

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Optimal PMU placement for power system dynamic state estimation by using empirical observability Gramian

2015 IEEE Power & Energy Society General Meeting ◽

10.1109/pesgm.2015.7285734 ◽

2015 ◽

Author(s):

Junjian Qi ◽

Kai Sun ◽

Wei Kang

Keyword(s):

Power System ◽

State Estimation ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation ◽

Pmu Placement ◽

Observability Gramian ◽

Optimal Pmu Placement

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Optimal PMU placement evaluation for power system dynamic state estimation

2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) ◽

10.1109/isgteurope.2010.5639006 ◽

2010 ◽

Author(s):

Jinghe Zhang ◽

Greg Welch ◽

Gary Bishop ◽

Zhenyu Huang

Keyword(s):

Power System ◽

State Estimation ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation ◽

Pmu Placement ◽

Optimal Pmu Placement

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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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Comparing Kalman Filters and Observers for Power System Dynamic State Estimation With Model Uncertainty and Malicious Cyber Attacks

IEEE Access ◽

10.1109/access.2018.2876883 ◽

2018 ◽

Vol 6 ◽

pp. 77155-77168 ◽

Author(s):

Junjian Qi ◽

Ahmad F. Taha ◽

Jianhui Wang

Keyword(s):

Power System ◽

State Estimation ◽

Model Uncertainty ◽

Kalman Filters ◽

Cyber Attacks ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation

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Stochastic Event-Triggered Cubature Kalman Filter for Power System Dynamic State Estimation

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2018.2886690 ◽

2019 ◽

Vol 66 (9) ◽

pp. 1552-1556 ◽

Author(s):

Sen Li ◽

You Hu ◽

Lini Zheng ◽

Zhen Li ◽

Xi Chen ◽

...

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

System Dynamic ◽

Dynamic State ◽

Cubature Kalman Filter ◽

Dynamic State Estimation ◽

Event Triggered ◽

Stochastic Event

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Power System Dynamic State Estimation based on Kalman Filter

International Journal of Computer Applications ◽

10.5120/ijca2016911935 ◽

2016 ◽

Vol 154 (11) ◽

pp. 26-30

Author(s):

Firas M. ◽

Akram N.

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation

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Application of extended fractional Kalman filter to power system dynamic state estimation

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) ◽

10.1109/appeec.2016.7779825 ◽

2016 ◽

Author(s):

Zigang Lu ◽

Shihai Yang ◽

Yonghui Sun

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation

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Power System Dynamic State Estimation Using Smooth Variable Structure Filter

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip45357.2019.8969306 ◽

2019 ◽

Author(s):

Ibrahim Al-Omari ◽

Abolfazl Rahimnejad ◽

Andrew Gadsden ◽

Medhat Moussa ◽

Hadis Karimipour

Keyword(s):

Power System ◽

State Estimation ◽

Variable Structure ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation ◽

Smooth Variable Structure Filter

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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 ◽

Author(s):

Junbo Zhao ◽

Lamine Mili

Keyword(s):

Kalman Filter ◽

Power System ◽

State Estimation ◽

Unscented Kalman Filter ◽

Theoretical Framework ◽

System Dynamic ◽

Dynamic State ◽

Dynamic State Estimation

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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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