Dynamic state estimation for islanded microgrids with multiple fading measurements

被引:32
作者
Qu, Bogang [1 ,2 ]
Shen, Bo [1 ,2 ]
Shen, Yuxuan [1 ,2 ]
Li, Qi [3 ]
机构
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
[2] Minist Educ, Engn Res Ctr Digitalized Text & Fash Technol, Shanghai 201620, Peoples R China
[3] Hangzhou Normal Univ, Inst Serv Engn, Hangzhou 311121, Peoples R China
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
POWER-SYSTEMS; MISSING MEASUREMENTS; FUSION ESTIMATION; ATTENUATION; INVERTERS; SUBJECT;
D O I
10.1016/j.neucom.2020.03.104
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper is concerned with the dynamic state estimation problem for islanded microgrids subject to fading measurements. An explicit model of the islanded microgrid with fading measurements is proposed. The fading phenomenon of measurements occurs in a random way and the attenuation coefficients are characterized by a set of random variables with known probability distributions. Attention is focused on the design of a recursive state estimator in the presence of fading measurements. In terms of the solutions to two sets of matrix difference equations, an upper bound on the estimation error covariance is firstly obtained, and such an upper bound is then minimized through adequately designing the estimator gain. Finally, simulation is conducted on the islanded microgrid to show the effectiveness of the proposed dynamic state estimation scheme. © 2020 Elsevier B.V.
引用
收藏
页码:196 / 203
页数:8
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