{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T19:08:33Z","timestamp":1719774513570},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"S1","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T00:00:00Z","timestamp":1603843200000},"content-version":"vor","delay-in-days":27,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Energy Inform"],"published-print":{"date-parts":[[2020,10]]},"abstract":"Abstract<\/jats:title>\nModern 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.<\/jats:p>","DOI":"10.1186\/s42162-020-00121-9","type":"journal-article","created":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T13:03:06Z","timestamp":1603890186000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Trust assessment of power system states"],"prefix":"10.1186","volume":"3","author":[{"given":"Michael","family":"Brand","sequence":"first","affiliation":[]},{"given":"Davood","family":"Babazadeh","sequence":"additional","affiliation":[]},{"given":"Carsten","family":"Kr\u00fcger","sequence":"additional","affiliation":[]},{"given":"Bj\u00f6rn","family":"Siemers","sequence":"additional","affiliation":[]},{"given":"Sebastian","family":"Lehnhoff","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,28]]},"reference":[{"key":"121_CR1","doi-asserted-by":"publisher","DOI":"10.1201\/9780203913673","volume-title":"Power System State Estimation: Theory and Implementation","author":"A Abur","year":"2004","unstructured":"Abur, A, Exposito AG (2004) Power System State Estimation: Theory and Implementation. 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