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Outlier detection methods for uncovering of critical events in historical phasor measurement records

 
: Kummerow, Andre; Nicolai, Steffen; Bretschneider, Peter

:
Volltext urn:nbn:de:0011-n-5197688 (1.0 MByte PDF)
MD5 Fingerprint: 85c54f772e29d0f4054207d5d98fa24d
Erstellt am: 29.11.2018


Huang, Q.:
ICPRE 2018, 3rd International Conference on Power and Renewable Energy : September 21-24, 2018, Berlin, Germany
Les Ulis: EDP Sciences, 2018 (E3S Web of Conferences 64)
Art. 08006, 6 S.
International Conference on Power and Renewable Energy (ICPRE) <3, 2018, Berlin>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
The scope of this survey is the uncovering of potential critical events from mixed PMU data sets. An unsupervised procedure is introduced with the use of different outlier detection methods. For that, different techniques for signal analysis are used to generate features in time and frequency domain as well as linear and non-linear dimension reduction techniques. That approach enables the exploration of critical grid dynamics in power systems without prior knowledge about existing failure patterns. Furthermore new failure patterns can be extracted for the creation of training data sets used for online detection algorithms.

: http://publica.fraunhofer.de/dokumente/N-519768.html