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

Rabenstein R, Schäfer M, Bauer J, Strobl C (2018)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Event location: Florence IT

DOI: 10.1109/iscas.2018.8351537

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.

Authors with CRIS profile

Rudolf Rabenstein Technische Fakultät Maximilian Schäfer Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Johannes Bauer Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

Involved external institutions

E-T-A Elektrotechnische Apparate GmbH DE Germany (DE)

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. In Proceedings of the IEEE Int. Symp. on Circuits and Systems (ISCAS). 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.

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