A Wave Digital Kalman Filter Approach for Fault Detection in DC Grids: A Case Study

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Rabenstein R, Schäfer M, Bauer J, Strobl C
Publication year: 2018
Language: English


Abstract


Fault detection in DC grids requires new concepts

for the design of protection devices. A promising concept for

predictive circuit protection is model based learning, e.g. Kalman

estimation. It requires detailed system models of electrical circuits.

An established modeling technique in circuit theory is

the wave digital principle which preserves circuit passivity and

stability. This contribution combines both ideas and derives a

Kalman filter in the wave digital domain.



FAU Authors / FAU Editors

Bauer, Johannes
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Rabenstein, Rudolf Prof. Dr.
Technische Fakultät
Schäfer, Maximilian
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


External institutions
E-T-A Elektrotechnische Apparate GmbH


How to cite

APA:
Rabenstein, R., Schäfer, M., Bauer, J., & Strobl, C. (2018). A Wave Digital Kalman Filter Approach for Fault Detection in DC Grids: A Case Study. Florence, IT.

MLA:
Rabenstein, Rudolf, et al. "A Wave Digital Kalman Filter Approach for Fault Detection in DC Grids: A Case Study." Proceedings of the IEEE Int. Symp. on Circuits and Systems (ISCAS), Florence 2018.

BibTeX: 

Last updated on 2018-08-08 at 01:37