@article{brand2020trust,Author = {Brand, Michael and Babazadeh, Davood and Krüger, Carsten and Siemers, Björn and Lehnhoff, Sebastian},Title = {Trust assessment of power system states},Journal = {Energy Informatics},Year = {2020},Pages = {1-11},Publisher = {Springer},Doi = {10.1109/ETFA46521.2020.9211939},Url = {https://link.springer.com/article/10.1186/s42162-020-00121-9},type = {article},Abstract = {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.}}@COMMENT{Bibtex file generated on }