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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
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Inertial Estimation in Power Grids Considering Load Contribution Based on FF-UKF
Shichun Li
Shichun Li
College of Electrical Engineering and New Energy, China Three Gorges University
Yichang, China
Hubei Province Key Laboratory for Operation and Control of Cascade Hydropower Stations (China Three Gorges University)
Yichang, China
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Li, Shichun
,
Xiaoyu Wang
Xiaoyu Wang
College of Electrical Engineering and New Energy, China Three Gorges University
Yichang, China
Hubei Province Key Laboratory for Operation and Control of Cascade Hydropower Stations (China Three Gorges University)
Yichang, China
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Wang, Xiaoyu
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Lijun Wang
Lijun Wang
College of Electrical Engineering and New Energy, China Three Gorges University
Yichang, China
Hubei Province Key Laboratory for Operation and Control of Cascade Hydropower Stations (China Three Gorges University)
Yichang, China
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Wang, Lijun
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Lingjie Su
Lingjie Su
College of Electrical Engineering and New Energy, China Three Gorges University
Yichang, China
Hubei Province Key Laboratory for Operation and Control of Cascade Hydropower Stations (China Three Gorges University)
Yichang, China
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Su, Lingjie
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Linhua Luo
Linhua Luo
College of Electrical Engineering and New Energy, China Three Gorges University
Yichang, China
Hubei Province Key Laboratory for Operation and Control of Cascade Hydropower Stations (China Three Gorges University)
Yichang, China
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Luo, Linhua
10 giu 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
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Pubblicato online:
10 giu 2024
Ricevuto:
25 feb 2024
Accettato:
28 apr 2024
DOI:
https://doi.org/10.2478/amns-2024-1482
Parole chiave
<kwd>New Power System</kwd>
,
<kwd>Renewable Energy</kwd>
,
<kwd>Load Contribution</kwd>
,
<kwd>Grid Node Inertia Estimation</kwd>
,
<kwd>Forgetting Factor Unscented Kalman Filter algorithm</kwd>
,
<kwd>Spatiotemporal Distribution of Inertia</kwd>
© 2024 Shichun Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.