Kalman Filter-Based Encrypted Detection Method of Stealthy Attacks on Microgrids

With the emergence of global warming and energy crisis, renewable distributed energy has been incorporated into the microgrid as one of the solutions. Because microgrid has alleviated the power demand of modern society to a certain extent, it has developed rapidly as a typical cyber physical system. However, the reliability of the frequency stability of the microgrid is poor, especially in recent years, the problems caused by network attacks have become more and more serious, among which the stealthy attacks frequently reported have the most serious impact on the system. In this paper, a microgrid attack encrypted detection method based on Kalman Filter is proposed. By encrypting the microgrid input channel, the performance of stealthy attacks in the hidden state is enhanced, which is conducive to improving the detection sensitivity of stealthy attacks. Finally, the effectiveness of this method is verified by numerical simulation.