Masking Transmission Line Outages via False Data Injection Attacks PROJECT TITLE :Masking Transmission Line Outages via False Data Injection AttacksABSTRACT:Today’s Power Systems become more prone to cyber-attacks due to the high integration of data technologies. During this paper, we have a tendency to demonstrate that the outages of some lines will be masked by injecting false knowledge into a collection of measurements. The success of the topology attack can be guaranteed by creating that: 1) the injected false information obeys Kirchhoff current law and Kirchhoff voltage law to avoid being detected by the dangerous knowledge detection program within the state estimation and a pair of) the residual in the road outage detection is increased such that the line outage can't be detected by phasor measurement unit information. A bilevel optimization downside is founded to see the optimal attack vector that may maximize the residual of the outaged line. The IEEE thirty-nine-bus and 118-bus systems are used to demonstrate the masking theme. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Design and Control of Fault-Tolerant Nonisolated Multiphase Multilevel DC–DC Converters for Automotive Power Systems Adaptive Neurofuzzy Inference System Least-Mean-Square-Based Control Algorithm for DSTATCOM
