| Issue |
E3S Web Conf.
Volume 64, 2018
2018 3rd International Conference on Power and Renewable Energy
|
|
|---|---|---|
| Article Number | 08006 | |
| Number of page(s) | 6 | |
| Section | Power System and Energy | |
| DOI | https://doi.org/10.1051/e3sconf/20186408006 | |
| Published online | 27 November 2018 | |
Outlier Detection Methods for Uncovering of Critical Events in Historical Phasor Measurement Records
Department of Energy, Advanced System Technology (AST) Branch of Fraunhofer IOSB, lIlmenau, Germany
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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