Print Email Facebook Twitter Synchrophasor-based Applications to Enhance Electrical System Performance in the Netherlands Title Synchrophasor-based Applications to Enhance Electrical System Performance in the Netherlands Author Popov, M. (TU Delft Intelligent Electrical Power Grids) Boricic, Aleksandar (TU Delft Intelligent Electrical Power Grids) Veerakumar, Nidarshan (TU Delft Intelligent Electrical Power Grids) Naglic, Matija (TenneT TSO B.V.) Tyuryukanov, I. (TU Delft Intelligent Electrical Power Grids) Tealane, M. (TU Delft Intelligent Electrical Power Grids) Rueda, José L. (TU Delft Intelligent Electrical Power Grids) van der Meijden, M.A.M.M. (TU Delft Intelligent Electrical Power Grids) Palensky, P. (TU Delft Intelligent Electrical Power Grids) Date 2022 Abstract This paper deals with the essentials of synchrophasor applications for future power systems aimed at increasing system reliability and resilience. In this work, several applications are presented, covering real-time disturbance detection and blackout prevention. Firstly, an advanced big-data management platform built in real-time digital simulation (RTDS) environment to support measurement data collection, processing and sharing among stakeholders is described. With this platform, a network splitting methodology to avoid cascading failures is presented and demonstrated, which upon the occurrence of a disturbance successfully isolates the affected part to avoid catastrophic cascade system outage. Online generator coherency identification is another synchrophasor application implemented on the platform, whose use is demonstrated in the context of controlled network splitting. By using synchrophasors, data-analytics techniques can also be used for identifying and classifying different disturbances in real-time with the least human intervention. Therefore, a novel centralized artificial intelligence (AI) based expert system to detect and classify critical events is outlined. Finally, the paper elaborates on the development of advanced system resilience metrics for real-time vulnerability assessment, with a focus on increasingly relevant dynamic interactions between distribution and transmission systems. Subject Phasor Measurement UnitsReal-Time MonitoringAlgorithmsWide Area Monitoring and ProtectionArtificial intelligenceControlled Islanding To reference this document use: http://resolver.tudelft.nl/uuid:c241f4af-af25-49d2-a01a-4aad6665d6a3 Publisher Cigré Source Proceedings of the CIGRE Paris 2022 Conference Event CIGRE Session 2022, 2022-08-28 → 2022-09-02, Paris, France Series CIGRE Paris 2022 Part of collection Institutional Repository Document type conference paper Rights © 2022 M. Popov, Aleksandar Boricic, Nidarshan Veerakumar, Matija Naglic, I. Tyuryukanov, M. Tealane, José L. Rueda, M.A.M.M. van der Meijden, P. Palensky, More Authors Files PDF Preprint_Cigre_2022.pdf 1.38 MB Close viewer /islandora/object/uuid:c241f4af-af25-49d2-a01a-4aad6665d6a3/datastream/OBJ/view