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Trust assessment of power system states

Publikationstyp
Journal Article
Date Issued
2020
Sprache
English
Author(s)
Brand, Michael 
Babazadeh, Davood  orcid-logo
Krüger, Carsten  
Siemers, Björn  
Lehnhoff, Sebastian  
TORE-URI
http://hdl.handle.net/11420/8741
Journal
Energy informatics  
Volume
3
Issue
S1
Citation
Energy Informatics S1 (3): (2020)
Contribution to Conference
9th DACH+ Conference on Energy Informatics 2020  
Publisher DOI
10.1186/s42162-020-00121-9
Modern power systems are cyber-physical systems with increasing relevance and influence of information and communication technology. This influence comprises all processes, functional, and non-functional aspects like functional correctness, safety, security, and reliability. An example of a process is the data acquisition process. Questions focused in this paper are, first, how one can trust in process data in a data acquisition process of a highly-complex cyber-physical power system. Second, how can the trust in process data be integrated into a state estimation to achieve estimated results in a way that it can reflect trustworthiness of that input?We present the concept of an anomaly-sensitive state estimation that tackles these questions. The concept is based on a multi-faceted trust model for power system network assessment. Furthermore, we provide a proof of concept by enriching measurements in the context of the IEEE 39-bus system with reasonable trust values. The proof of concept shows the benefits but also the limitations of the approach.
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