A new robust dynamic state estimation approach for power systems with non-Gaussian noise-Reference-Cited by-同舟云学术

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A new robust dynamic state estimation approach for power systems with non-Gaussian noise

Published:2024-07 Issue: Volume:158 Page:109948
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Chen Tengpeng^ORCID,Liu Fangyan,Luo Hongxuan^ORCID,Foo Eddy Y.S.^ORCID,Sun Lu^ORCID,Sun Yuhao,Gooi Hoay Beng^ORCID

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Natural Science Foundation of Fujian Province

Publisher

Elsevier BV

Reference38 articles.

1. Extended kernel risk-sensitive loss unscented Kalman filter based robust dynamic state estimation;Ma;Int J Electr Power Energy Syst,2023

2. A Bayesian approach to real-time dynamic parameter estimation using phasor measurement unit measurement;Xu;IEEE Trans Power Syst,2020

3. Real-Time transient stability assessment using dynamic equivalents and nonlinear observers;Iravani;IEEE Trans Power Syst,2020

4. Dynamic synchrophasor estimation based on weighted real-valued sinc interpolation method;Song;IEEE Sens J,2023

5. Robust forecasting-aided state estimation of power system based on extended Kalman filter with adaptive kernel risk-sensitive loss;Gao;Int J Electr Power Energy Syst,2023

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