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dc.contributor.authorAnand, Ayush
dc.contributor.authorKumar, Abhimanu
dc.date.accessioned2024-09-20T05:12:48Z
dc.date.available2024-09-20T05:12:48Z
dc.date.issued2023-05
dc.identifier.urihttp://10.10.11.6/handle/1/18235
dc.descriptionDEPARTMENT OF ELECTRICAL, ELECTRONIC AND COMMUNICATION ENGINEERINGen_US
dc.description.abstractThe employment of cutting-edge technologies has made cyber-attacks a more serious danger to the secure operation of the power system. In order to solve the LFC problem, it enables cyber-physical based system stability and security difficulties. To send precise measurement data to the control centre, employ the cyber physical network. However, it unavoidably results in a significant rise in the vulnerability of the physical fake information injection type of cyberattack. By altering the rate of change of frequency (ROF), this attack upsets the grid. As a result, a best-practice linear quadratic regulator (LQR) legislation is created to protect against false information injection (FDI) integrity-related cyber intrusions and load patterns. The variances in state trajectories ensure that FDI intrusion vulnerabilities will have the least detrimental effects possible on the grid state trajectoriesen_US
dc.language.isoen_USen_US
dc.publisherGalgotias Universityen_US
dc.subjectData based Cyberen_US
dc.subjectPower Systemsen_US
dc.titleMitigation of False Data based Cyber Intrusion Uncertainty in Power Systemsen_US
dc.typeTechnical Reporten_US


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  • B.TECH [23]
    Electrical and Electronics Engineering

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