Print Email Facebook Twitter Critical Data Visualization to Enhance Protection Schemes for State Estimation Title Critical Data Visualization to Enhance Protection Schemes for State Estimation Author Flor, Vinicius B.Braga (Federal University Fluminense (UFF)) Filho, Milton B.Do Coutto (Federal University Fluminense (UFF)) de Souza, Julio C.Stacchini (Federal University Fluminense (UFF)) Vergara Barrios, P.P. (TU Delft Intelligent Electrical Power Grids) Date 2022 Abstract Intelligent electrical power grids, widely referred to as smart grids (SGs), rely on digital technology resources, especially communication and measurement devices, becoming a cyber-physical energy system. Massive data flow between grid elements makes smart grids more vulnerable to cyber-attacks. Power system state estimation (SE) - an essential function of energy management systems - is one of these data integrity attacks' targets. Integrity validation routines can fail when insufficient redundancy levels are reached, and spurious data occur. These levels are associated with critical data, i.e., those whose unavailability makes the grid unobservable. Data redundancy is a metric that gives a precarious indication that SE can run. Alternatively, it is more appropriate to quantify this function strength concerning its results' reliability, which can be achieved by criticality analysis (CA). This paper proposes a novel approach to visualize the results of an extensive CA through representative graphs; they facilitate understanding the usefulness of CA. Critical sets of measurements are generalized, and several metrics are proposed to reveal measuring system vulnerabilities, assisting the design of protection schemes to resist cyber-attacks. Simulations attained on the IEEE-30bus system evince significant improvements in the interpretation/use of CA. Subject Atmospheric measurementscriticality analysiscyber securitydata redundancyData visualizationObservabilityParticle measurementsPower measurementpower system state estimationsmart gridsState estimationTime measurementVoltage measurement To reference this document use: http://resolver.tudelft.nl/uuid:d783c756-8047-4438-a409-53311241f500 DOI https://doi.org/10.1109/TSG.2022.3203404 Embargo date 2023-07-01 ISSN 1949-3053 Source IEEE Transactions on Smart Grid, 14 (2), 1249-1261 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 Vinicius B.Braga Flor, Milton B.Do Coutto Filho, Julio C.Stacchini de Souza, P.P. Vergara Barrios Files PDF Critical_Data_Visualizati ... mation.pdf 4.48 MB Close viewer /islandora/object/uuid:d783c756-8047-4438-a409-53311241f500/datastream/OBJ/view