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Local anomaly detection analysis in distribution grid based on IEC 61850-9-2 LE SV voltage signals

 
: Rösch, Dennis; Ruhe, Stefan; Schäfer, Kevin; Nicolai, Steffen

:

Institute of Electrical and Electronics Engineers -IEEE-; Institute of Electrical and Electronics Engineers -IEEE-, Power & Energy Society -PES-:
SEST 2019, 2nd International Conference on Smart Energy Sysrems and Technologies : 9-11 September 2019, Porto, Portugal
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-1157-5
ISBN: 978-1-7281-1156-8
pp.816-821
International Conference on Smart Energy Systems and Technologies (SEST) <2, 2019, Porto>
English
Conference Paper
Fraunhofer IOSB ()
anomaly detection; cyber security; IEC 61850-9-2

Abstract
This paper introduces an approach of local voltage anomaly detection in electric power distribution grid using IEC 61850-9-2 LE Sampled Values (SV) as transmission protocol [1]. The approach was implemented and tested in a real-time simulation unit, where a defined distribution grid provides simulated voltage data. An analysis of transmitted samples on a receiver and computation device according to power quality measurements and their limits due to dynamic behaviour is done. The goal of our proposed anomaly detection is in contrast to previous approaches to detect disturbances caused by cyberattacks on ICS components in distribution grids based on an open communication interface. This paper defines the first part of detection at a local node in a defined grid configuration.

: http://publica.fraunhofer.de/documents/N-590488.html