Dynamic state estimation for islanded microgrids with multiple fading measurements

• Published in: Neurocomputing (Amsterdam) Vol. 406; pp. 196 - 203
• Main Authors: Qu, Bogang, Shen, Bo, Shen, Yuxuan, Li, Qi
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 17.09.2020
• Subjects: Fading measurements; Islanded microgrid; Power systems; Recursive state estimation; Renewable energy generation; Islanded microgrid; Recursive state estimation; Power systems; Renewable energy generation; Fading measurements
• ISSN: 0925-2312; 1872-8286
• DOI: 10.1016/j.neucom.2020.03.104

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.