Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4559
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dc.contributor.authorKumar, Vagesh-
dc.contributor.authorRai, Shekha-
dc.contributor.authorRay, Pravat Kumar-
dc.date.accessioned2024-05-10T09:30:28Z-
dc.date.available2024-05-10T09:30:28Z-
dc.date.issued2024-03-
dc.identifier.citation2nd IEEE International Conference on Device Intelligence, Computing, and Communication Technologies (DICCT), Graphic Era University, Dehradun, 15-16 March 2024en_US
dc.identifier.urihttp://hdl.handle.net/2080/4559-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractIn today’s modern era advanced measurement devices such as Phasor Measurement Units (PMUs) and Phasor Data Concentrators (PDCs) are highly susceptible to Cyberattacks, including denial-of-service (DoS) assaults and false data injection attacks (FDIAs), which accost newly imminent threats such as the power systems network stability, reliability, vulnerability, resilience, and security. In this research study, a potent low-rank tensor completion (PLRTC) technique is presented to handle issues like unobservability in PMUs measurement, cyber-attacks, and state estimation in power systems networks. Initially, a regularized low-rank tensor completion (LRTC) technique is presented to effectively exploit the interdependencies in the data for a robust recovery. Furthermore, for the low-frequency oscillation (LFO) identification, the bootstrap technique is implemented. Thereafter the free decay signals are separated from the single-mode signals for the identification of mode parameters by utilizing the random decrement technique (RDT) and Hilbert transform (HT). The efficacy & resilience of the potent LRTC technique is confirmed and contrasted with other recently discovered methods. Additionally, local area, twoarea data, and real probing data from the Western Electricity Coordinating Council (WECC) are used to validate the proposed technique.en_US
dc.subjectPotent LRTCen_US
dc.subjectBootstrapen_US
dc.subjectoscillation monitoringen_US
dc.subjectReal-Time Dataen_US
dc.subjectPMU signal recoveryen_US
dc.subjectRDTen_US
dc.subjectHTen_US
dc.subjectFDIAen_US
dc.titleDetection of Phony Data in PMU Measurements and Power Quality Assurance in Power Gridsen_US
dc.typeArticleen_US
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