Robust Adaptive Fading Unscented Kalman Filter for Decentralized Dynamic State Estimation in Power Systems Under Unknown Inputs and Covariance Mismatches

IF 6.5 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Power Systems Pub Date : 2025-05-16 DOI:10.1109/tpwrs.2025.3570748

Bo Chai, S. C. Chan, Y. H. Hou

引用次数: 0

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基于鲁棒自适应衰落无嗅卡尔曼滤波的未知输入和协方差失配下电力系统分散动态估计

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Power Systems 工程技术-工程：电子与电气

CiteScore

15.80

自引率

7.60%

发文量

696

审稿时长

3 months

期刊介绍： The scope of IEEE Transactions on Power Systems covers the education, analysis, operation, planning, and economics of electric generation, transmission, and distribution systems for general industrial, commercial, public, and domestic consumption, including the interaction with multi-energy carriers. The focus of this transactions is the power system from a systems viewpoint instead of components of the system. It has five (5) key areas within its scope with several technical topics within each area. These areas are: (1) Power Engineering Education, (2) Power System Analysis, Computing, and Economics, (3) Power System Dynamic Performance, (4) Power System Operations, and (5) Power System Planning and Implementation.