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Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems

Bogang Qu Zidong Wang Bo Shen Hongli Dong Hongjian Liu

自动化学报（英文版）2024，Vol.11Issue(1)：74-87,14.

自动化学报（英文版）2024，Vol.11Issue(1)：74-87,14.DOI:10.1109/JAS.2023.123795

Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems

Bogang Qu ¹Zidong Wang ²Bo Shen ³Hongli Dong ⁴Hongjian Liu⁵

作者信息

1. College of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China
2. Department of Computer Science,Brunel University London,Uxbridge,Middlesex UB8 3PH,UK
3. College of Information Science and Technology,Donghua University,Shanghai 200051,and also with the Engineering Research Center of Digitalized Textile and Fashion Technology,Ministry of Education,Shanghai 201620,China
4. Artificial Intelligence Energy Research Institute,Northeast Petroleum University,Daqing 163318,the Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control,Northeast Petroleum University,Daqing 163318,and the Sanya Offshore Oil &Gas Research Institute,Northeast Petroleum University,Sanya 572024,China
5. Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment,Ministry of Education,Anhui Polytechnic University,Wuhu 241000,and also with the School of Mathematics and Physics,Anhui Polytechnic University,Wuhu 241000,China
折叠

摘要

关键词

Decentralized state estimation(SE)/measurements with anomalies/minimum error entropy/unscented Kalman filter/wide-area power systems

Key words

Decentralized state estimation(SE)/measurements with anomalies/minimum error entropy/unscented Kalman filter/wide-area power systems

引用本文复制引用

Bogang Qu,Zidong Wang,Bo Shen,Hongli Dong,Hongjian Liu..Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems[J].自动化学报（英文版）,2024,11(1):74-87,14.

基金项目

This work was supported in part by the National Natural Science Foundation of China(61933007,U21A2019,62273005,62273088,62303301),the Program of Shanghai Academic/Technology Research Leader of China(20XD1420100),the Hainan Province Science and Technology Special Fund of China(ZDYF2022SHFZ105),the Natural Science Foundation of Anhui Province of China(2108085MA07),and the Alexander von Humboldt Foundation of Germany. （61933007,U21A2019,62273005,62273088,62303301）

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